CLEF 2024
CLEF 2024 Working Notes

Table of Contents

• Preface
  This volume contains the 339 working notes that were peer-reviewed and accepted for publication at CLEF 2024. Out of these, 37 are overviews of the labs and tasks, while 302 are the participants' working notes.

BioASQ: Large-scale Biomedical Semantic Indexing and Question Answering

• Overview of BioASQ Tasks 12b and Synergy12 in CLEF2024 1 - 7
  Anastasios Nentidis , Georgios Katsimpras , Anastasia Krithara , Georgios Paliouras
  
• Overview of MultiCardioNER task at BioASQ 2024 on Medical Specialty and Language Adaptation of Clinical NER Systems for Spanish, English and Italian 8 - 27
  Salvador Lima-López , Eulalia Farre-Maduell , Jan Rodríguez-Miret , Miguel Rodríguez-Ortega , Livia Lilli , Jacopo Lenkowicz , Giovanna Ceroni , Jonathan Kossof , Anoop Shah , Anastasios Nentidis , Anastasia Krithara , Georgios Katsimpras , Georgios Paliouras , Martin Krallinger
  
• Overview of BioNNE Task on Biomedical Nested Named Entity Recognition at BioASQ 2024 28 - 34
  Vera Davydova , Natalia Loukachevitch , Elena Tutubalina
  
• Transformer-Based Disease and Drug Named Entity Recognition in Multilingual Clinical Texts: MultiCardioNER challenge 35 - 46
  Anna Aksenova , Aleksis Datseris , Sylvia Vassileva , Svetla Boytcheva
  
• BIT.UA at BioASQ 12: From Retrieval to Answer Generation 47 - 67
  Tiago Almeida , Richard A. A. Jonker , João Reis , João R. Almeida , Sérgio Matos
  
• LLM Fine-Tuning With Biomedical Open-Source Data 68 - 77
  Christopher Anaya , Maria Fernandes , Francisco M Couto
  
• Can Open-Source LLMs Compete with Commercial Models? Exploring the Few-Shot Performance of Current GPT Models in Biomedical Tasks 78 - 98
  Samy Ateia , Udo Kruschwitz
  
• NCU-IISR: Enhancing Biomedical Question Answering with GPT-4 and Retrieval Augmented Generation in BioASQ 12b Phase B 99 - 105
  Bing-Chen Chih , Jen-Chieh Han , Richard Tzong-Han Tsai
  
• Multilingual Clinical NER for Diseases and Medications Recognition in Cardiology Texts using BERT Embeddings 106 - 116
  Manuela Daniela Danu , George Marica , Constantin Suciu , Lucian Mihai Itu , Oladimeji Farri
  
• Enhancing Biomedical Question Answering with Parameter-Efficient Fine-Tuning and Hierarchical Retrieval Augmented Generation 117 - 129
  Yichen Gao , Licheng Zong , Yu Li
  
• Team NOVA LINCS @ BIOASQ12 MultiCardioNER Track: Entity Recognition with Additional Entity Types 130 - 137
  Rodrigo Gonçalves , André Lamúrias
  
• Generative Large Language Models Augmented Hybrid Retrieval System for Biomedical Question Answering 138 - 149
  Bor-Woei Huang
  
• BIT.UA at MultiCardioNER: Adapting a Multi-head CRF for Cardiology 150 - 158
  Richard A. A. Jonker , Tiago Almeida , Sérgio Matos
  
• Comparative Analyses of Multilingual Drug Entity Recognition Systems for Clinical Case Reports In Cardiology 159 - 167
  Chaeeun Lee , T. Ian Simpson , Joram M. Posma , Antoine D. Lain
  
• Enhancing Biomedical Document Ranking with Domain Knowledge Incorporation in a Multi-Stage Retrieval Approach. 168 - 175
  Maël Lesavourey , Gilles Hubert
  
• MiBi at BioASQ 2024: Retrieval-Augmented Generation for Answering Biomedical Questions 176 - 187
  Jan Heinrich Merker , Alexander Bondarenko , Matthias Hagen , Adrian Viehweger
  
• Farming Open LLMs for Biomedical Question Answering 188 - 196
  Dimitra Panou , Alexandros C. Dimopoulos , Martin Reczko
  
• Nested Named Entity Recognition using Multilayer BERT-based Model 197 - 206
  Hasin Rehana , Benu Bansal , Nur Bengisu Çam , Jie Zheng , Yongqun He , Arzucan Özgür , Junguk Hur
  
• Identifying Cardiological Disorders in Spanish via Data Augmentation and Fine-Tuned Language Models 207 - 222
  Antonio Romano , Giuseppe Riccio , Marco Postiglione , Vincenzo Moscato
  
• Cross-Linguistic Disease and Drug Detection in Cardiology Clinical Texts: Methods and Outcomes 223 - 244
  Patrick Styll , Leonardo Campillos-Llanos , Wojciech Kusa , Allan Hanbury
  
• Biomedical Nested NER with Large Language Model and UMLS Heuristics 245 - 252
  Wenxin Zhou
  
• Using Pretrained Large Language Model with Prompt Engineering to Answer Biomedical Questions 253 - 268
  Wenxin Zhou , Thuy Hang Ngo
  
• HU-WBI at BioASQ12B Phase A: Exploring Rank Fusion of Dense Retrievers and Re-rankers 269 - 275
  Oğuz Şerbetçi , Xing David Wang , Ulf Leser
  

CheckThat!: Predicting Check-Worthiness, Subjectivity, Persuasion, Roles and Authorities

• Overview of the CLEF-2024 CheckThat! Lab Task 1 on Check-Worthiness Estimation of Multigenre Content 276 - 286
  Maram Hasanain , Reem Suwaileh , Sanne Weering , Chengkai Li , Tommaso Caselli , Wajdi Zaghouani , Alberto Barrón-Cedeño , Preslav Nakov , Firoj Alam
  
• Overview of the CLEF-2024 CheckThat! Lab Task 2 on Subjectivity in News Articles 287 - 298
  Julia Maria Struß , Federico Ruggeri , Alberto Barrón-Cedeño , Firoj Alam , Dimitrov Dimitar , Andrea Galassi , Georgi Pachov , Ivan Koychev , Preslav Nakov , Melanie Siegel , Michael Wiegand , Maram Hasanain , Reem Suwaileh , Wajdi Zaghouani
  
• Overview of the CLEF-2024 CheckThat! Lab Task 3 on Persuasion Techniques 299 - 310
  Jakub Piskorski , Nicolas Stefanovitch , Firoj Alam , Ricardo Campos , Dimitar Dimitrov , Alípio Jorge , Senja Pollak , Nikolay Ribin , Zoran Fijavž , Maram Hasanain , Purificação Silvano , Elisa Sartori , Nuno Guimarães , Ana Zwitter Vitez , Ana Filipa Pacheco , Ivan Koychev , Nana Yu , Preslav Nakov , Giovanni Da San Martino
  
• Overview of the CLEF-2024 CheckThat! Lab Task 5 on Rumor Verification using Evidence from Authorities 311 - 320
  Fatima Haouari , Tamer Elsayed , Reem Suwaileh
  
• Overview of the CLEF-2024 CheckThat! Lab Task 6 on Robustness of Credibility Assessment with Adversarial Examples (InCrediblAE) 321 - 338
  Piotr Przybyła , Ben Wu , Alexander Shvets , Yida Mu , Kim Cheng Sheang , Xingyi Song , Horacio Saggion
  
• IAI Group at CheckThat! 2024: Transformer models and data augmentation for checkworthy claim detection 339 - 350
  Peter Røysland Aarnes , Vinay Setty , Petra Galuščáková
  
• DEFAULT at CheckThat! 2024: Retrieval Augmented Classification using Differentiable Top-K Operator for Rumor Verification based on Evidence from Authorities 351 - 360
  Sayanta Adhikari , Himanshu Sharma , Rupa Kumari , Shrey Satapara , Maunendra Desarkar
  
• Nullpointer at CheckThat! 2024: Identifying Subjectivity from Multilingual Text Sequence 361 - 368
  Md Rafiul Biswas , Abrar Tasneem Abir , Wajdi Zaghouani
  
• TurQUaz at CheckThat! 2024: A Hybrid Approach of Fine-Tuning and In-Context Learning for Check-Worthiness Estimation 369 - 377
  Mehmet Eren Bulut , Kaan Efe Keleş , Mucahid Kutlu
  
• HYBRINFOX at CheckThat! 2024 - Task 2: Enriching BERT Models with the Expert System VAGO for Subjectivity Detection 378 - 386
  Morgane Casanova , Julien Chanson , Benjamin Icard , Géraud Faye , Guillaume Gadek , Guillaume Gravier , Paul Égré
  
• Fired_from_NLP at CheckThat! 2024: Estimating the Check-Worthiness of Tweets Using a Fine-tuned Transformer-based Approach 387 - 395
  Md. Sajid Alam Chowdhury , Anik Mahmud Shanto , Mostak Mahmud Chowdhury , Hasan Murad , Udoy Das
  
• TurQUaz at CheckThat! 2024: Creating Adversarial Examples using Genetic Algorithm 396 - 404
  Basak Demirok , Selin Mergen , Bugra Oz , Mucahid Kutlu
  
• Mirela at CheckThat! 2024: Check-worthiness of Tweets with Multilingual Embeddings and Adversarial Training 405 - 410
  Mirela Dryankova , Dimitar Dimitrov , Ivan Koychev , Preslav Nakov
  
• HYBRINFOX at CheckThat! 2024 - Task 1: Enhancing Language Models with Structured Information for Check-Worthiness Estimation 411 - 418
  Géraud Faye , Morgane Casanova , Benjamin Icard , Julien Chanson , Guillaume Gadek , Guillaume Gravier , Paul Egré
  
• Eevvgg at CheckThat! 2024: Evaluative Terms, Pronouns and Modal Verbs as Markers of Subjectivity in Text 419 - 425
  Ewelina Gajewska
  
• UniBO at CheckThat! 2024: Multi-lingual and Multi-label Persuasion Technique Detection in News with Data Augmentation and Sequence-Token Classifiers 426 - 434
  Paolo Gajo , Luca Giordano , Alberto Barrón-Cedeño
  
• DSHacker at CheckThat! 2024: LLMs and BERT for Check-Worthy Claims Detection with Propaganda Co-occurrence Analysis 435 - 445
  Paweł Golik , Arkadiusz Modzelewski , Aleksander Jochym
  
• CLaC-2 at CheckThat! 2024: A Zero-Shot Model for Check-Worthiness and Subjectivity Classification 446 - 452
  Shayne Gruman , Leila Kosseim
  
• TextTrojaners at CheckThat! 2024: Robustness of Credibility Assessment with Adversarial Examples through BeamAttack 453 - 472
  David Guzman Piedrahita , Arnisa Fazla , Lucas Krauter
  
• Palöri at CheckThat! 2024 Shared Task 6: GloTa - Combining GloVe Embeddings with RoBERTa for Adversarial Attack 473 - 482
  Haokun He , Yafeng Song , Dylan Massey
  
• SSN-NLP at CheckThat! 2024: Assessing the Check-Worthiness of Tweets and Debate Excerpts Using Traditional Machine Learning and Transformer Models 483 - 488
  Sanjai Balajee Kannan Giridharan , Sanjjit Sounderrajan , B Bharathi , Nilu R. Salim
  
• AuthEv-LKolb at CheckThat! 2024: A Two-Stage Approach To Evidence-Based Social Media Claim Verification 489 - 505
  Luis Kolb , Allan Hanbury
  
• OpenFact at CheckThat! 2024: Combining Multiple Attack Methods for Effective Adversarial Text Generation 506 - 519
  Włodzimierz Lewoniewski , Piotr Stolarski , Milena Stróżyna , Elżbieta Lewańska , Aleksandra Wojewoda , Ewelina Księżniak , Marcin Sawiński
  
• FactFinders at CheckThat! 2024: Refining Check-worthy Statement Detection with LLMs through Data Pruning 520 - 537
  Yufeng Li , Rrubaa Panchendrarajan , Arkaitz Zubiaga
  
• Trio Titans at Check That! 2024 : Check Worthiness Estimation 538 - 545
  Sai Geetha M , Prarthna M , Chiranjeev Prasannaa V V , Saritha M
  
• Mela at CheckThat! 2024: Transferring Persuasion Detection from English to Arabic - A Multilingual BERT Approach 546 - 551
  Sara Nabhani , Md Abdur Razzaq Riyadh
  
• SemanticCuetSync at CheckThat! 2024: Finding Subjectivity in News Articles using Llama 552 - 559
  Ashraful Islam Paran , Md. Sajjad Hossain , Symom Hossain Shohan , Jawad Hossain , Shawly Ahsan , Mohammed Moshiul Hoque
  
• SEUPD@CLEF: Team Axolotl on Rumor Verification using Evidence from Authorities 560 - 569
  Andrea Pasin , Nicola Ferro
  
• SSN-NLP at CheckThat! 2024: From Feature-based Algorithms to Transformers: A Study on Detecting Subjectivity 570 - 579
  Pooja Premnath , Pranav Vaithiya Subramani , Nilu R Salim , Bharathi B
  
• MMU NLP at CheckThat! 2024: Homoglyphs are Adversarial Attacks 580 - 589
  Charlie Roadhouse , Matthew Shardlow , Ashley Williams
  
• Tonirodriguez at CheckThat!2024: Is it Possible to Use Zero-Shot Cross-Lingual Methods for Subjectivity Detection in Low-Resources Languages? 590 - 597
  Antonio Rodríguez , Elisabet Golobardes , Jaume Suau
  
• JK_PCIC_UNAM at CheckThat! 2024: Analysis of Subjectivity in News Sentences Using Transformers-Based Models 598 - 604
  Karla Salas-Jimenez , Iván Díaz , Helena Gómez-Adorno , Gemma Bel-Enguix , Gerardo Sierra
  
• Indigo at CheckThat! 2024: Using Setfit: A Resource Efficient Technique for Subjectivity Detection in News Article. 605 - 612
  Soumyadeep Sar , Dwaipayan Roy
  
• OpenFact at CheckThat! 2024: Cross-Lingual Transfer Learning for Check-Worthiness Detection 613 - 631
  Marcin Sawinski , Krzysztof Węcel , Ewelina Księżniak
  
• SemanticCuetSync at CheckThat! 2024: Pre-trained Transformer-based Approach to Detect Check-Worthy Tweet 632 - 640
  Symom Hossain Shohan , Md. Sajjad Hossain , Ashraful Islam Paran , Jawad Hossain , Shawly Ahsan , Mohammed Moshiul Hoque
  
• DataBees at CheckThat! 2024: Check-Worthiness Estimation 641 - 650
  Tanisha Sriram , Yadushree Venkatesh , Sowmya Anand , Bharathi B
  
• SINAI at CheckThat! 2024: Transformer-based Approaches for Check-Worthiness Classification 651 - 657
  Sergiu Stoia , Jaime Collado-Montañez , Cristian Ibáñez-Bautista , Arturo Montejo-Ráez , María Teresa Martín-Valdivia , Manuel Carlos Díaz-Galiano
  
• SINAI at CheckThat! 2024: Stealthy Character-Level Adversarial Attacks Using Homoglyphs and Iterative Search 658 - 665
  José Valle-Aguilera , Alberto J. Gutiérrez-Megías , Salud María Jiménez-Zafra , L. Alfonso Ureña-López , Eugenio Martínez-Cámara
  
• Fraunhofer SIT at CheckThat! 2024: Adapter Fusion for Check-Worthiness Detection 666 - 671
  Inna Vogel , Pauline Möhle
  
• FC_RUG at CheckThat! 2024: Few-shot Learning Using GEITje for Check-Worthiness Detection in Dutch 672 - 679
  Sanne Weering , Tommaso Caselli
  
• Checker Hacker at CheckThat! 2024: Detecting Check-Worthy Claims and Analyzing Subjectivity with Transformers 680 - 686
  Syeda Duae Zehra , Kushal Chandani , Muhammad Khubaib , Ahmed Ali Aun Muhammed , Faisal Alvi , Abdul Samad
  

ELOQUENT: Evaluating Generative Language Models

• ELOQUENT 2024 — Topical Quiz Task 687 - 690
  Jussi Karlgren , Aarne Talman
  
• Overview of the CLEF-2024 Eloquent Lab: Task 2 on HalluciGen 691 - 702
  Luise Dürlich , Evangelia Gogoulou , Liane Guillou , Joakim Nivre , Shorouq Zahra
  
• ELOQUENT 2024 — Robustness Task 703 - 707
  Magnus Sahlgren , Jussi Karlgren , Luise Dürlich , Evangelia Gogoulou , Aarne Talman , Shorouq Zahra
  
• Evaluating Poro-34B-Chat and Mistral-7B-Instruct-v0.1: LLM System Description for ELOQUENT at CLEF 2024 708 - 711
  Vasumathi Neralla , Sander Bijl de Vroe
  
• GPT Hallucination Detection Through Prompt Engineering 712 - 721
  Marco Siino , Ilenia Tinnirello
  
• Experimental Report on Robustness Task - ELOQUENT Lab @ CLEF 2024 722 - 726
  Annika Simonsen
  
• The Two Sides of the Coin: Hallucination Generation and Detection with LLMs as Evaluators for LLMs 727 - 758
  Anh Thu Bui , Saskia Felizitas Brech , Natalie Hußfeldt , Tobias Jennert , Melanie Ullrich , Timo Breuer , Narjes Nikzad Khasmakhi , Philipp Schaer
  

eRisk 2024: Early Risk Prediction on the Internet

• Overview of eRisk 2024: Early Risk Prediction on the Internet (Extended Overview) 759 - 781
  Javier Parapar , Patricia Martin-Rodilla , David E. Losada , Fabio Crestani
  
• NUS-IDS@eRisk2024: Ranking Sentences for Depression Symptoms using Early Maladaptive Schemas and Ensembles 782 - 793
  Beng Heng Ang , Sujatha Das Gollapalli , See-Kiong Ng
  
• REBECCA at eRisk 2024: Search for Symptoms of Depression Using Sentence Embeddings and Prompt-Based Filtering 794 - 802
  Anna Barachanou , Filareti Tsalakanidou , Symeon Papadopoulos
  
• ELiRF-VRAIN at eRisk 2024: Using LongFormers for Early Detection of Signs of Anorexia 803 - 812
  Andreu Casamayor , Vicent Ahuir , Antonio Molina , Lluís-Felip Hurtado
  
• NLP-UNED at eRisk 2024: Approximate Nearest Neighbors with Encoding Refinement for Early Detecting Signs of Anorexia 813 - 824
  Hermenegildo Fabregat , Daniel Deniz , Andres Duque , Lourdes Araujo , Juan Martinez-Romo
  
• DS@GT eRisk 2024: Sentence Transformers for Social Media Risk Assessment 825 - 833
  David Guecha , Aaryan Potdar , Anthony Miyaguchi
  
• MindwaveML at eRisk 2024: Identifying Depression Symptoms in Reddit Users 834 - 840
  Raluca-Maria Hanciu
  
• Automatically Finding Evidence and Predicting Answers in Mental Health Self-Report Questionnaires 841 - 850
  Diego Maupomé , Yves Ferstler , Sébastien Mosser , Marie-Jean Meurs
  
• SINAI at eRisk@ CLEF 2024: Approaching the Search for Symptoms of Depression and Early Detection of Anorexia Signs using Natural Language Processing. 851 - 861
  Alba María Mármol-Romero , Adrián Moreno-Muñoz , Pablo Álvarez-Ojeda , Karla María Valencia-Segura , Eugenio Martínez-Cámara , Manuel García-Vega , Arturo Montejo-Ráez
  
• UMUTeam at eRisk@CLEF 2024: Fine-Tuning Transformer Models with Sentiment Features for Early Detection and Severity Measurement of Eating Disorders 862 - 870
  Ronghao Pan , José Antonio García-Díaz , Tomás Bernal-Beltrán , Rafael Valencia-Garcia
  
• APB-UC3M at eRisk 2024: Natural Language Processing and Deep Learning for the Early Detection of Mental Disorders 871 - 880
  Alejandro Pardo Bascuñana , Isabel Segura Bedmar
  
• Measuring the severity of the signs of Eating Disorders using Machine Learning Techniques 881 - 887
  Sachin Prasanna , Abhayjit Singh Gulati , Subhojit Karmakar , M Yoga Hiranmayi , Anand Kumar Madasamy
  
• Combining Recommender Systems and Language Models in Early Detection of Signs of Anorexia 888 - 893
  Oskar Riewe-Perła , Agata Filipowska
  
• A Natural Language Processing Based Framework for Early Detection of Anorexia via Sequential Text Processing 894 - 901
  Prateek Sarangi , Sumit Kumar , Shraddha Agarwal , Tanmay Basu
  
• A Time-Aware Approach to Early Detection of Anorexia: UNSL at eRisk 2024 902 - 907
  Horacio Thompson , Marcelo Errecalde
  

EXIST: sEXism Identification in Social neTworks

• Overview of EXIST 2024 - Learning with Disagreement for Sexism Identification and Characterization in Tweets and Memes (Extended Overview) 908 - 941
  Laura Plaza , Jorge Carrillo-De-Albornoz , Victor Ruiz , Alba Maeso , Berta Chulvi , Paolo Rosso , Enrique Amigó , Julio Gonzalo , Roser Morante , Damiano Spina
  
• RoBEXedda: Sexism Detection in Tweets 942 - 957
  Giacomo Aru , Nicola Emmolo , Simone Marzeddu , Andrea Piras , Jacopo Raffi , Lucia C. Passaro
  
• Bilingual Sexism Classification: Fine-Tuned XLM-RoBERTa and GPT-3.5 Few-Shot Learning 958 - 965
  Amirmohammad Azadi , Baktash Ansari , Sina Zamani , Sauleh Eetemadi
  
• Penta ML at EXIST 2024: Tagging Sexism in Online Multimodal Content With Attention-enhanced Modal Context 966 - 977
  Deeparghya Dutta Barua , Md Sakib Ul Rahman Sourove , Fabiha Haider , Fariha Tanjim Shifat , Md Farhan Ishmam , Md Fahim , Farhad Alam Bhuiyan
  
• I2C-UHU at EXIST 2024: Transformer-Based Detection of Sexism and Source Intention in Memes Using a Learning with Disagreement Approach 978 - 992
  Álvaro Carrillo-Casado , Javier Román-Pásaro , Jacinto Mata-Vázquez , Victoria Pachón-Álvarez
  
• FraunhoferSIT@EXIST2024: Leveraging Stacking Ensemble Learning for Sexism Detection 993 - 1002
  Shiying Fan , Raphael Antonius Frick , Martin Steinebach
  
• NYCU-NLP at EXIST 2024: Leveraging Transformers with Diverse Annotations for Sexism Identification in Social Networks 1003 - 1011
  Yi-Zeng Fang , Lung-Hao Lee , Juinn-Dar Huang
  
• LightGBM for Sexism Identification in Memes 1012 - 1017
  Arnau García i Cucó , Miquel Obrador Reina
  
• Automatic Classification of Gender Stereotypes in Social Media Post 1018 - 1025
  Shimi Gersome , Jerin Mahibha , Durairaj Thenmozhi
  
• I2C-UHU at EXIST2024: Learning from Divergence and Perspectivism for Sexism Identification and Source Intent Classification 1026 - 1042
  Manuel Guerrero-García , Manuel Cerrejón-Naranjo , Jacinto Mata-Vázquez , Victoria Pachón-Álvarez
  
• Enhancing Sexism Detection in Tweets with Annotator-Integrated Ensemble Methods and Multimodal Embeddings for Memes 1043 - 1057
  Martha Paola Jimenez-Martinez , Joan Manuel Raygoza-Romero , Carlos Eduardo Sánchez-Torres , Irvin Hussein Lopez-Nava , Manuel Montes-Y-Gómez
  
• Sexism Identification in Social Networks using TF-IDF Embeddings, PreProccessing, Feature Selection, Word/Char N-Grams and Various Machine Learning Models In Spanish and English 1058 - 1069
  Ron Keinan
  
• Multilingual Sexism Identification via Fusion of Large Language Models 1070 - 1079
  Sahrish Khan , Gabriele Pergola , Arshad Jhumka
  
• RoJiNG-CL at EXIST 2024: Leveraging Large Language Models for Multimodal Sexism Detection in Memes 1080 - 1090
  Jing Ma , Rong Li
  
• A Contrastive Learning Based Approach to Detect Sexism in Memes 1091 - 1097
  Fariha Maqbool , Elisabetta Fersini
  
• Sexism Identification in Social Networks: Advances in Automated Detection - A Report on the Exist Task at CLEF 1098 - 1106
  Nimra Maqbool
  
• VerbaNex AI at CLEF EXIST 2024: Detection of Online Sexism using Transformer Models and Profiling Techniques 1107 - 1113
  Elizabeth Martinez , Juan Cuadrado , Juan Carlos Martinez Santos , Edwin Puertas
  
• DiTana-PV at sEXism Identification in Social neTworks (EXIST) tasks 4 and 6: The Effect of Translation in Sexism Identification 1114 - 1121
  Aitana Menárguez-Box , Diego Torres-Bertomeu
  
• NICA at EXIST CLEF Tasks 2024 1122 - 1134
  Aylin Naebzadeh , Melika Nobakhtian , Sauleh Eetemadi
  
• UMUTeam at EXIST 2024: Multi-modal Identification and Categorization of Sexism by Feature Integration 1135 - 1147
  Ronghao Pan , José Antonio García-Díaz , Tomás Bernal-Beltrán , Rafael Valencia-Garcia
  
• Multilingual Sexism Detection in Memes, A CLIP-Enhanced Machine Learning Approach 1148 - 1156
  Umera Wajeed Pasha
  
• Language-based Mixture of Transformers for EXIST2024 1157 - 1164
  Alexandru Petrescu , Ciprian-Octavian Truică , Elena-Simona Apostol
  
• Sexism Identification in Social Networks with Generation-based Language Models 1165 - 1176
  Le Minh Quan , Dang Van Thin
  
• PINK at EXIST2024: A Cross-Lingual and Multi-Modal Transformer Approach for Sexism Detection in Memes 1177 - 1186
  Giulia Rizzi , David Gimeno-Gómez , Elisabetta Fersini , Carlos-D. Martínez-Hinarejos
  
• Concatenated Transformer Models Based On Levels Of Agreements For Sexism Detection 1187 - 1197
  Victor Ruiz , Jorge Carrillo-de-Albornoz , Laura Plaza
  
• Team Aditya at EXIST 2024 – Detecting Sexism in Multilingual Tweets using Contrastive Learning Approach 1198 - 1202
  Aditya Shah , Aditya Gokhale
  
• The Wisdom of Weighing: Stacking Ensembles for a More Balanced Sexism Detector 1203 - 1213
  Abhay Shanbhag , Suramya Jadhav , Atharva Date , Sumedh Joshi , Sheetal Sonawane
  
• Penta-nlp at EXIST 2024 Task 1-3: Sexism Identification, Source Intention, Sexism Categorization In Tweets 1214 - 1227
  Fariha Tanjim Shifat , Fabiha Haider , Md Sakib Ul Rahman Sourove , Deeparghya Dutta Barua , Md Farhan Ishmam , Md Fahim , Farhad Alam Bhuiyan
  
• Prompt Engineering for Identifying Sexism using GPT Mistral 7B 1228 - 1236
  Marco Siino , Ilenia Tinnirello
  
• RMIT-IR at EXIST Lab at CLEF 2024 1237 - 1252
  Tony Smith , H Ruda Nie , Johanne R. Trippas , Damiano Spina
  
• Sexism Identification in Tweets Using Machine Learning Approaches 1253 - 1259
  Murari Sreekumar , Shreyas Karthik , Durairaj Thenmozhi , Shriram Gopalakrishnan , Krithika Swaminathan
  
• Better Together: LLM and Neural Classification Transformers to Detect Sexism 1260 - 1273
  Judith Tavarez-Rodríguez , Fernando Sánchez-Vega , Alejandro Rosales-Pérez , Adrián Pastor López-Monroy
  
• Sexism Identification in Tweets using BERT and XLM - Roberta 1274 - 1279
  Maha Usmani , Rania Siddiqui , Samin Rizwan , Faryal Khan , Faisal Alvi , Abdul Samad
  
• Cracking Down on Digital Misogyny with MULTILATE a MULTImodaL hATE Detection System 1280 - 1296
  Advaitha Vetagiri , Prateek Mogha , Partha Pakray
  
• Stacked Reflective Reasoning in Large Neural Language Models 1297 - 1311
  Kapioma Villarreal Haro , Fernando Sánchez-Vega , Alejandro Rosales-Pérez , Adrián Pastor López-Monroy
  

iDPP: Intelligent Disease Progression Prediction

• Overview of iDPP@CLEF 2024: The Intelligent Disease Progression Prediction Challenge 1312 - 1331
  Giovanni Birolo , Pietro Bosoni , Guglielmo Faggioli , Helena Aidos , Roberto Bergamaschi , Paola Cavalla , Adriano Chiò , Arianna Dagliati , Mamede de Carvalho , Giorgio Maria Di Nunzio , Piero Fariselli , Jose Manuel Garcia Dominguez , Marta Gromicho , Alessandro Guazzo , Enrico Longato , Sara C. Madeira , Umberto Manera , Stefano Marchesin , Laura Menotti , Gianmaria Silvello , Eleonora Tavazzi , Erica Tavazzi , Isotta Trescato , Martina Vettoretti , Barbara Di Camillo , Nicola Ferro
  
• ALSFRS-R Score Prediction for Amyotrophic Lateral Sclerosis 1332 - 1340
  Guido Barducci , Flavio Sartori , Giovanni Birolo , Tiziana Sanavia , Piero Fariselli
  
• Predicting Multiple Sclerosis Relapses Using Patient Exposure Trajectories 1341 - 1352
  Pietro Bosoni , Mahin Vazifehdan , Daniele Pala , Eleonora Tavazzi , Roberto Bergamaschi , Riccardo Bellazzi , Arianna Dagliati
  
• Using Wearable and Environmental Data to Improve the Prediction of Amyotrophic Lateral Sclerosis and Multiple Sclerosis Progression: an Explorative Study 1353 - 1365
  Elena Marinello , Alessandro Guazzo , Enrico Longato , Erica Tavazzi , Isotta Trescato , Martina Vettoretti , Barbara Di Camillo
  
• Predicting the Functional Rating Scale and Self-Assessment Status of ALS Patients with Sensor Data 1366 - 1379
  Andreia S. Martins , Daniela M. Amaral , Eduardo N. Castanho , Diogo F. Soares , Ruben Branco , Sara C. Madeira , Helena Aidos
  
• Machine Learning for ALSFRS-R Score Prediction: Making Sense of the Sensor Data 1380 - 1391
  Ritesh Mehta , Aleksandar Pramov , Shashank Verma
  
• UBCS at IDPP: Predicting Patient Self-Assessment Score from Sensor Data using Machine Learning Algorithms 1392 - 1400
  Chibuzor Chukwuemeka Okere , Edwin Thuma , Gontlafetse Mosweunyane
  
• BIT.UA at iDPP: Predictive Analytics on ALS Disease Progression Using Sensor Data with Machine Learning 1401 - 1411
  Jorge Miguel Silva , José Luis Oliveira
  

ImageCLEF: Multimodal Challenge in CLEF

• Overview of the 2024 ImageCLEFmedical GANs Task - Investigating Generative Models' Impact on Biomedical Synthetic Images 1412 - 1428
  Alexandra-Georgiana Andrei , Ahmedkhan Radzhabov , Dzmitry Karpenka , Yuri Prokopchuk , Vassili Kovalev , Bogdan Ionescu , Henning Müller
  
• Overview of ImageCLEFmedical 2024 – Medical Visual Question Answering for Gastrointestinal Tract 1429 - 1436
  Steven Hicks , Andrea Storås , Pål Halvorsen , Michael Riegler , Vajira Thambawita
  
• Overview of ImageCLEFmedical 2024 – Caption Prediction and Concept Detection 1437 - 1455
  Johannes Rückert , Asma Ben Abacha , Alba G. Seco de Herrera , Louise Bloch , Raphael Brüngel , Ahmad Idrissi-Yaghir , Henning Schäfer , Benjamin Bracke , Hendrik Damm , Tabea M. G. Pakull , Cynthia Sabrina Schmidt , Henning Müller , Christoph M. Friedrich
  
• Overview of the MEDIQA-MAGIC Task at ImageCLEF 2024: Multimodal And Generative TelemedICine in Dermatology 1456 - 1462
  Wen-Wai Yim , Asma Ben Abacha , Yujuan Fu , Zhaoyi Sun , Meliha Yetisgen , Fei Xia
  
• IRLab@IIT_BHU at MEDIQA-MAGIC 2024: Medical Question Answering using Classification model 1463 - 1473
  Arvind Agrawal , Sukomal Pal
  
• SSN-MLRG at Text to Picto 2024 : A BERT-Based Approach for Mapping French Sentences to Pictogram Terms 1474 - 1479
  Bhavana Anand , Themozhi J , Shreyas Sai R , Charumathi P , Mirnalinee Tt
  
• AI Multimedia Lab at ImageCLEFmedical GANs 2024: Deep Learning Approaches for Analyzing Synthetic Medical Images 1480 - 1489
  Alexandra-Georgiana Andrei , Mihai Gabriel Constantin , Mihai Dogariu , Bogdan Ionescu
  
• Medical Image Captioning using CUI-based Classification and Feature Similarity 1490 - 1499
  Masaki Aono , Tetsuya Asakawa , Kazuki Shimizu , Kei Nomura
  
• KDE-med-lab at ImageCLEF 2024: Identify data and detect generative models using CNN by lung segmentation based on U-net 1500 - 1507
  Tetsuya Asakawa , Kazuki Shimizu , Kei Nomura , Masaki Aono
  
• Concept Detection and Caption Prediction of Radiology Images Using Convolutional Neural Networks 1508 - 1516
  Prabavathy Balasundaram , Karthikeyan Swaminathan , Oviasree Sampath , Pradeep Km
  
• Evaluation of the Privacy of Images Generated by ImageCLEFmedical GANs 2024 Based on Similarity Methods 1517 - 1524
  Shitong Cao , Xiaobing Zhou
  
• VisualT5: Multitasking Caption and Concept Prediction with Pre-trained ViT, T5 and Customized Spatial Attention in Radiological Images 1525 - 1532
  Diedre Carmo , Letícia Rittner , Roberto Lotufo
  
• MMCP Team at ImageCLEFmed MEDVQA-GI 2024 Task: Diffusion Models for Text-to-Image Generation of Colonoscopy Images 1533 - 1544
  Mikhail Chaichuk , Elena Tutubalina
  
• VisionQAries at MEDIQA-MAGIC 2024: Small Vision Language Models for Dermatological Diagnosis 1545 - 1551
  Patrycja Cieplicka , Julia Kłos , Maciej Morawski
  
• SSNMLRGKSR at ImageCLEFmedical Caption 2024: Medical Concept Detection using DenseNet-121 with MultiLabelBinarizer 1552 - 1559
  Ramyaa Dhinagaran , Sheerin Sitara Noor Mohamed , Kavitha Srinivasan
  
• Advancing AI-Powered Medical Image Synthesis: Insights from MedVQA-GI Challenge Using CLIP, Fine-Tuned Stable Diffusion, and Dream-Booth + LoRA 1560 - 1578
  Ojonugwa Oluwafemi Ejiga Peter , Md Mahmudur Rahman , Fahmi Khalifa
  
• Text-To-Picto using Lexical Simplification 1579 - 1584
  Abbhinav Elliah , Ananth Narayanan P , Bhuvan S , P Mirunalini
  
• Fingerprint Identification of Generative Models Using a MultiFormer Ensemble Approach 1585 - 1598
  Md. Ismail Siddiqi Emon , Mahmudul Hoque , Md Rakibul Hasan , Fahmi Khalifa , Md Mahmudur Rahman
  
• YuanAI at MEDIQA-MAGIC 2024: Improving Medical VQA Performance through Parameter-Efficient Fine-Tuning 1599 - 1607
  Hsian-Hong Fu , Hsien-Cheng Huang
  
• KDE Lab at ImageCLEFmedical GANs 2024 1608 - 1612
  Shota Fukuyama , Tetsuya Asakawa , Kazuki Shimizu , Kei Nomura , Masaki Aono
  
• Detecting Training Data and Generative Model Fingerprints in Synthetic CT Scans Using Machine Learning 1613 - 1618
  Amilcare Gentili
  
• Medical Image Interpretation with Large Multimodal Models 1619 - 1639
  Mahmudul Hoque , Md Rakibul Hasan , Md. Ismail Siddiqi Emon , Fahmi Khalifa , Md Mahmudur Rahman
  
• Identifying Training Data "Fingerprints" Using Border Enhancing Image Processing Methods and Their Ensemble 1640 - 1644
  Koki Inoue , Tetsuya Asakawa , Kazuki Shimizu , Kei Nomura , Masaki Aono
  
• Predicting Captions and Detecting Concepts for Medical Images: Contributions of the DBS-HHU Team to ImageCLEFmedical Caption 2024 1645 - 1655
  Heiko Kauschke , Kirill Bogomasov , Stefan Conrad
  
• A Transformer Based Approach for Text-to-Picto Generation 1656 - 1661
  Avaneesh Koushik , Jithu Morrison S , P Mirunalini , Jothir Aditya R K
  
• Analyzing Generated Images using Machine Learning 1662 - 1667
  Diana Miranda , Aparna Rane , Bipin Naik
  
• Automatic Medical Concept Detection on Images: Dividing the Task into Smaller Ones 1668 - 1680
  Axel Moncloa-Muro , Graciela Ramirez-Alonso , Fernando Martinez-Reyes
  
• DS@BioMed at ImageCLEFmedical Caption 2024: Enhanced Attention Mechanisms in Medical Caption Generation through Concept Detection Integration 1681 - 1694
  Nhi Ngoc-Yen Nguyen , Huy Le Tu , Phuong Dieu Nguyen , Tan Nhat Do , Triet Minh Thai , Thien B. Nguyen-Tat
  
• UIT-DarkCow team at ImageCLEFmedical Caption 2024: Diagnostic Captioning for Radiology Images Efficiency with Transformer Models 1695 - 1710
  Quan Van Nguyen , Huy Quang Pham , Dan Quang Tran , Thang Kien-Bao Nguyen , Nhat-Hao Nguyen-Dang , Thien B. Nguyen-Tat
  
• UIT-2Q2T at ImageCLEFmedical 2024 Caption: Multimodal medical image captioning using Bootstrapping Language-Image Pre-training 1711 - 1719
  Thien V. Phan , Trinh K. Nguyen , Quang A. D. D. Hoang , Quan T. Phan , Thien B. Nguyen-Tat
  
• Leveraging Diverse CNN Architectures for Medical Image Captioning: DenseNet-121, MobileNetV2, and ResNet-50 in ImageCLEF 2024 1720 - 1728
  Sriram Ram , Shashaank Vinoth , Rahul Natesh Gopalakrishnan , Aastick Amirteswar Balakumar , Lekshmi Kalinathan , Thomas Abraham Joseph Velankanni
  
• AUEB NLP Group at ImageCLEFmedical Caption 2024 1729 - 1745
  Marina Samprovalaki , Anna Chatzipapadopoulou , Georgios Moschovis , Foivos Charalampakos , Panagiotis Kaliosis , John Pavlopoulos , Ion Androutsopoulos
  
• Classification of Real and Generated Images Based on Feature Similarity 1746 - 1754
  Huihui Tang , Hancheng Wang , Jining Chen
  
• GAN-Amis: Evaluating Clustering of GAN-Generated Medical Images Using Custom and Pre-trained CNN Architectures to Identify GAN Fingerprints 1755 - 1762
  Aman Upganlawar , Aarti Lad , Arnav Desai
  
• PCLmed: Champion Solution for ImageCLEFmedical 2024 Caption Prediction Challenge via Medical Vision-Language Foundation Models 1763 - 1774
  Bang Yang , Yue Yu , Yuexian Zou , Tong Zhang
  

JOKER Lab: Automatic Humour Analysis

• Overview of the CLEF 2024 JOKER Task 1: Humour-aware Information Retrieval 1775 - 1785
  Liana Ermakova , Anne-Gwenn Bosser , Tristan Miller , Adam Jatowt
  
• Overview of the CLEF 2024 JOKER Task 2: Humour Classification According to Genre and Technique 1786 - 1799
  Victor Manuel Palma Preciado , Grigori Sidorov , Liana Ermakova , Anne-Gwenn Bosser , Tristan Miller , Adam Jatowt
  
• Overview of the CLEF 2024 JOKER Task 3: Translate puns from English to French 1800 - 1810
  Liana Ermakova , Anne-Gwenn Bosser , Tristan Miller , Adam Jatowt
  
• JOKER Track @ CLEF 2024: the Jokesters' approaches for retrieving, classifying, and translating wordplay 1811 - 1817
  Harouna Baguian , Huynh Nina Ashley
  
• University of Split and University of Malta (Team AB&DPV) at the CLEF 2024 JOKER Track: From ‘LOL’ to ‘MDR’ Using Artificial Intelligence Models to Retrieve and Translate Puns 1818 - 1825
  Antonia Bartulović , Dóra Paula Váradi
  
• PunDerstand @ CLEF JOKER 2024: Who’s Laughing Now? Humor Classification by Genre & Technique 1826 - 1833
  Ryan Rony Dsilva , Nidhi Bhardwaj
  
• Working Notes of CLEF 2024: Effective Humor Analysis and Translation 1834 - 1840
  Regina Elagina , Petra Vučić
  
• ORPAILLEUR & SyNaLP at CLEF 2024 Task 2: Good Old Cross Validation for Large Language Models Yields the Best Humorous Detection 1841 - 1856
  Pierre Epron , Gaël Guibon , Miguel Couceiro
  
• CLEF 2024 Joker Task 1: Exploring Pun Detection Using The T5 Transformer Model 1857 - 1861
  Arina Gepalova , Adrian-Gabriel Chifu , Sébastien Fournier
  
• Thinking, Fast and Slow: From the Speed of FastText to the Depth of Retrieval Augmented Large Language Models For Humour Classification 1862 - 1867
  Jana Viktória Kováčiková , Marek Šuppa
  
• CLEF 2024 JOKER Tasks 1-3: Humour identification and classification 1868 - 1875
  Rowan Mann , Tomislav Mikulandric
  
• CLEF 2024 JOKER Task 2 : Using RoBERTa and Bert-uncased for Humour Classification According to Genre and Technique 1876 - 1879
  Sarvesh Narayanan , Jayasimman J , Shiva Ganesh V
  
• NLPalma Joker 2024: Yet, no Humor with Humorousness - Task 2 Humour Classification According to Genre and Technique 1880 - 1888
  Victor Manuel Palma-Preciado , Carolina Palma-Preciado , Grigori Sidorov
  
• Comparative Evaluation of Humour Translation from English to Spanish: A Study with BLOOM and Googletrans 1889 - 1894
  Olga Popova
  
• Vayam Solve Kurmaha @ CLEF 2024: Task 2: Humor Classification according to Genre and Technique using BERT Embeddings and Transformers 1895 - 1901
  Dhannya S M , Lakshmi Priya S , Shreedevi Seluka Balaji , Sai Nikitha N.S.R , Shwetha S , Surabhi Kamath , Srinidhi Lakshmi Narayanan
  
• CLEF 2024 JOKER Task 2: Using BERT and Random Forest Classifier for Humor Classification According to Genre and Technique 1902 - 1908
  M Saipranav , Jaswanth Sridharan , Gautham Narayan G , Angel Deborah S , Rajalakshmi S , Mirnalinee T T , Samyuktaa Sivakumar
  
• University of Amsterdam at the CLEF 2024 Joker Track 1909 - 1922
  Emma Schuurman , Mick Cazemier , Luc Buijs , Jaap Kamps
  
• Team Humour Insights at JOKER 2024 Task 2: Humour Classification According To Genre And Technique 1923 - 1932
  Rakshith Subramanian , Vaishnavi S , B Bharathi
  
• Humour Classification by Fine-tuning LLMs: CYUT at CLEF 2024 JOKER Lab Subtask Humour Classification According to Genre and Technique 1933 - 1947
  Shih-Hung Wu , Yu-Feng Huang , Tsz-Yeung Lau
  

LifeCLEF: species identification and prediction

• Overview of BirdCLEF 2024: Acoustic identification of under-studied bird species in the Western Ghats 1948 - 1957
  Stefan Kahl , Tom Denton , Holger Klinck , Vijay Ramesh , Viral Joshi , Meghana Srivathsa , Akshay Anand , Chiti Arvind , Harikrishnan Cp , Suyash Sawant , Robin Vv , Hervé Glotin , Hervé Goëau , Willem-Pier Vellinga , Robert Planqué , Alexi Joly
  
• Overview of FungiCLEF 2024: Revisiting Fungi Species Recognition Beyond 0-1 Cost 1958 - 1965
  Lukas Picek , Milan Šulc , Jiří Matas
  
• Overview of GeoLifeCLEF 2024: Species Composition Prediction with High Spatial Resolution at Continental Scale using Remote Sensing 1966 - 1977
  Lukas Picek , Christophe Botella , Maximilien Servajean , César Leblanc , Rémi Palard , Théo Larcher , Benjamin Deneu , Diego Marcos , Joaquim Estopinan , Pierre Bonnet , Alexis Joly
  
• Overview of PlantCLEF 2024: Multi-species Plant Identification in Vegetation Plot Images 1978 - 1988
  Hervé Goëau , Vincent Espitalier , Pierre Bonnet , Alexis Joly
  
• Overview of SnakeCLEF 2024: Revisiting Snake Species Identification in Medically Important Scenarios 1989 - 2000
  Lukas Picek , Marek Hrúz , Andrew M. Durso
  
• Combining Present-Only and Present-Absent Data with Pseudo-Label Generation for Species Distribution Modeling 2001 - 2008
  Yi-Chia Chen , Tai Peng , Wei-Hua Li , Chu-Song Chen
  
• Multi-modal Feature Fusion Networks for GeoLifeCLEF 2024 2009 - 2015
  Zehua Cheng , Wei Dai , Jiahao Sun
  
• Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning 2016 - 2026
  Christopher Chiu , Maximilian Heil , Teresa Kim , Anthony Miyaguchi
  
• Patch-wise Inference using Pre-trained Vision Transformers: NEUON Submission to PlantCLEF 2024 2027 - 2043
  Sophia Chulif , Hamza Ahmed Ishrat , Yang Loong Chang , Sue Han Lee
  
• Methods for Training Convolutional Neural Networks to Identify Bird Species in Complex Soundscape Recordings 2044 - 2052
  Konstantin Dmitriev
  
• Generalizable Training Techniques for Fine-Grained Long-Tailed Image Recognition: Transferring Methods Optimized for FungiCLEF 2024 to SnakeCLEF 2024 2053 - 2065
  Jack N. Etheredge
  
• OpenWGAN-GP for Fine-Grained Open-Set Fungi Classification 2066 - 2082
  Jack N. Etheredge
  
• Utilising DINOv2 for Domain Adaptation in Vegetation Plot Analysis 2083 - 2092
  Stephen Foy , Simon McLoughlin
  
• Multi-Label Plant Species Classification with Self-Supervised Vision Transformers 2093 - 2102
  Murilo Gustineli , Anthony Miyaguchi , Ian Stalter
  
• Domain Adaption for Birdcall Recognition: Progressive Knowledge Distillation with Semi-Supervised and Self-Supervised Soundscape Labeling 2103 - 2109
  Lihang Hong
  
• Improving Bird Recognition using Pseudo-Labeled Recordings from the Target Location 2110 - 2118
  Mario Lasseck
  
• Tighnari: Multi-modal Plant Species Prediction Based on Hierarchical Cross-Attention Using Graph-Based and Vision Backbone-Extracted Features 2119 - 2143
  Haixu Liu , Penghao Jiang , Zerui Tao , Muyan Wan , Qiuzhuang Sun
  
• Tile Compression and Embeddings for Multi-Label Classification in GeoLifeCLEF 2024 2144 - 2157
  Anthony Miyaguchi , Patcharapong Aphiwetsa , Mark McDuffie
  
• Transfer Learning with Pseudo Multi-Label Birdcall Classification for DS@GT BirdCLEF 2024 2158 - 2169
  Anthony Miyaguchi , Adrian Cheung , Murilo Gustineli , Ashley Kim
  
• Transfer Learning with Self-Supervised Vision Transformers for Snake Identification 2170 - 2177
  Anthony Miyaguchi , Murilo Gustineli , Austin Fischer , Ryan Lundqvist
  
• Bird-Species Audio Identification, Ensembling of EfficientNet-B0 and Pre-trained EfficientNet-B1 model 2178 - 2187
  Aaditya Porwal
  
• Exploring Biodiversity: A Multi-Model Approach to Multi-Label Plant Species Prediction 2188 - 2200
  Darren Rawlings , Tim Chopard
  
• TUC Media Computing at BirdCLEF 2024: Improving Birdsong Classification Through Single Learning Models 2201 - 2208
  Arunodhayan Sampathkumar , Tobias Schlosser , Danny Kowerko
  
• Do Not Lose to Losses for SnakeCLEF2024 2209 - 2214
  Matěj Sieber , Tomáš Železný
  
• Multimodal networks for Species Distribution Modeling 2215 - 2222
  Aman R. Syayfetdinov
  
• Say No to the Poisonous Fungi: An Effective Strategy for Reducing 0-1 Cost in FungiCLEF2024 2223 - 2233
  Bao-Feng Tan , Yang-Yang Li , Peng Wang , Lin Zhao , Xiu-Shen Wei
  
• Multibranch Co-training to Mine Venomous Feature Representation: A Solution to SnakeCLEF2024 2234 - 2243
  Peng Wang , Yangyang Li , Bao-Feng Tan , Yi-Chao Zhou , Yong Li , Xiu-Shen Wei
  
• Addressing the Challenges of Domain Shift in Bird Call Classification for BirdCLEF 2024 2244 - 2259
  Emiel Witting , Hugo de Heer , Jeffrey Lim , Cahit Tolga Kopar , Kristóf Sándor
  
• Poison-Aware Open-Set Fungi Classification: Reducing the Risk of Poisonous Confusion 2260 - 2266
  Stefan Wolf , Philipp Thelen , Jürgen Beyerer
  

LongEval: Longitudinal Evaluation of Model Performance

• Extended Overview of the CLEF 2024 LongEval Lab on Longitudinal Evaluation of Model Performance 2267 - 2289
  Rabab Alkhalifa , Hsuvas Borkakoty , Romain Deveaud , Alaa El-Ebshihy , Luis Espinosa-Anke , Tobias Fink , Petra Galuščáková , Gabriela González-Sáez , Lorraine Goeuriot , David Iommi , Maria Liakata , Harish Tayyar Madabushi , Pablo Medina-Alias , Philippe Mulhem , Florina Piroi , Martin Popel , Arkaitz Zubiaga
  
• SEUPD@CLEF: Team Kalu on improving Search Engine Performance with Query Expansion and Re-Ranking Approach 2290 - 2303
  Kimia Abedini , Arwa Fahoud , Akan Akysh , Nicola Ferro
  
• Team OpenWebSearch at CLEF 2024: LongEval 2304 - 2313
  Daria Alexander , Maik Fröbe , Gijs Hendriksen , Ferdinand Schlatt , Matthias Hagen , Djoerd Hiemstra , Martin Potthast , Arjen P. de Vries
  
• SEUPD@CLEF: Team DAM on Reranking Using Sentence Embedders 2314 - 2335
  Alberto Basaglia , Andrea Stocco , Milica Popović , Nicola Ferro
  
• SEUPD@CLEF: Team MOUSE on Enhancing Search Engines Effectiveness with Large Language Models. 2336 - 2355
  Lorenzo Cazzador , Francesco Luigi De Faveri , Filippo Franceschini , Lorenzo Pamio , Samuel Piron , Nicola Ferro
  
• SEUPD@CLEF: Team IRIS on Temporal Evolution of Query Expansion and Rank Fusion Techniques Applied to Cross-Encoder Re-Rankers. 2356 - 2383
  Filippo Galli , Manuel Rigobello , Michela Schibuola , Riccardo Zuech , Nicola Ferro
  
• Team Galápagos Tortoise at LongEval 2024: Neural Re-Ranking and Rank Fusion for Temporal Stability 2384 - 2395
  Marlene Gründel , Malte Weber , Johannes Franke , Jan Heinrich Merker
  
• Leveraging Prior Relevance Signals in Web Search 2396 - 2406
  Jüri Keller , Timo Breuer , Philipp Schaer
  
• Analyzing the Effectiveness of Listwise Reranking with Positional Invariance on Temporal Generalizability 2407 - 2423
  Soyoung Yoon , Jongyoon Kim , Seung-won Hwang
  

PAN: Lab on Stylometry and Digital Text Forensics

• Overview of the Multi-Author Writing Style Analysis Task at PAN 2024 2424 - 2431
  Eva Zangerle , Maximilian Mayerl , Martin Potthast , Benno Stein
  
• Overview of the Multilingual Text Detoxification Task at PAN 2024 2432 - 2461
  Daryna Dementieva , Daniil Moskovskiy , Nikolay Babakov , Abinew Ali Ayele , Naquee Rizwan , Florian Schneider , Xintong Wang , Seid Muhie Yimam , Dmitry Ustalov , Elisei Stakovskii , Alisa Smirnova , Ashraf Elnagar , Animesh Mukherjee , Alexander Panchenko
  
• Overview of the Oppositional Thinking Analysis PAN Task at CLEF 2024 2462 - 2485
  Damir Korenčić , Berta Chulvi , Xavier Bonet-Casals , Mariona Taulé , Paolo Rosso , Francisco Rangel
  
• Overview of the “Voight-Kampff” Generative AI Authorship Verification Task at PAN and ELOQUENT 2024 2486 - 2506
  Janek Bevendorff , Matti Wiegmann , Jussi Karlgren , Luise Dürlich , Evangelia Gogoulou , Aarne Talman , Efstathios Stamatatos , Martin Potthast , Benno Stein
  
• Team Deloitte at PAN: A Novel Approach for Generative AI Text Detection 2507 - 2510
  Harika Abburi , Nirmala Pudota , Balaji Veeramani , Edward Bowen , Sanmitra Bhattacharya
  
• Detection of Conspiracy vs. Critical Narratives and Their Elements using NLP 2511 - 2520
  Aish Albladi , Cheryl Seals
  
• Oppositional Thinking Analysis: Conspiracy Theories vs Critical Thinking Narratives 2521 - 2526
  Prabavathy Balasundaram , Karthikeyan Swaminathan , Oviasree Sampath , Pradeep Km
  
• Team ap-team at PAN: LLM Adapters for Various Datasets 2527 - 2535
  Galina Boeva , German Gritsai , Andrey Grabovoy
  
• Enhancing Human-Machine Authorship Discrimination in Generative AI Verification Task with BERT and Augmented Data 2536 - 2540
  Haojie Cao , Zhongyuan Han , Jingyan Ye , Biao Liu , Yong Han
  
• Integrating Dual BERT Models and Causal Language Models for Enhanced Detection of Machine-Generated Texts 2541 - 2546
  Jitong Chen , Leilei Kong
  
• Team Chen at PAN: Integrating R-Drop and Pre-trained Language Model for Multi-author Writing Style Analysis 2547 - 2553
  Zhaotian Chen , Yong Han , Yusheng Yi
  
• DSVS at PAN 2024: Ensemble Approach of Transformer-based Language Models for Analyzing Conspiracy Theories Against Critical Thinking Narratives 2554 - 2565
  Sergio Damián , Brian Herrera , David Vázquez , Hiram Calvo , Edgardo Felipe-Riverón , Cornelio Yáñez-Márquez
  
• A Study on NLP Model Ensembles and Data Augmentation Techniques for Separating Critical Thinking from Conspiracy Theories in English Texts 2566 - 2571
  Iñaki del Campo Sánchez-Hermosilla , Angel Panizo-Lledot , David Camacho
  
• Automatic Identification of Conspiracy Theories Using BERT 2572 - 2575
  Daniel Yacob Espinosa , Grigori Sidorov , Eusebio Ricárdez-Vázquez
  
• Linguistic_Hygenist at PAN 2024 TextDetox: HybridDetox - A Combination of Supervised and Unsupervised Methods for Effective Multilingual Text Detoxification 2576 - 2584
  Susmita Gangopadhyay , M.Taimoor Khan , Hajira Jabeen
  
• BLGAV：Generative AI Author Verification Model Based on BERT and BiLSTM 2585 - 2592
  Linjiu Guo , Wenyin Yang , Li Ma , Jinli Ruan
  
• A Machine-Generated Text Detection Model Based on Text Multi-Feature Fusion 2593 - 2602
  Mingcan Guo , Zhongyuan Han , Haoyang Chen , Jiangao Peng
  
• Detection of conspiracy-related messages in Telegram with anonymized named entities 2603 - 2612
  Juan Gómez-Romero , Santiago González-Silot , Andrés Montoro-Montarroso , Miguel Molina-Solana , Eugenio Martínez Cámara
  
• An Oppositional Thinking Analysis Method Using BERT-based Model with BiGRU 2613 - 2618
  Qingbiao Hu , Zhongyuan Han , Jiangao Peng , Mingcan Guo , Chang Liu
  
• Author Authentication of Generative AI Based on Bert by Regularization Method 2619 - 2626
  Baijian Huang , Changle Zhong , Kai Yan , Yong Han
  
• Conspiracy Theory Text Classification Based on CT-BERT and BETO Models 2627 - 2631
  Jiahong Huang , Zhongyuan Han , Ruihao Zhu , Mingcan Guo , Kaiyin Sun
  
• Generative AI Authorship Verification Of Tri-Sentence Analysis Base On The Bert Model 2632 - 2637
  Jijie Huang , Yang Chen , Man Luo , Yonglan Li
  
• Generative AI Authorship Verification Based on Contrastive Learning and Domain Adaptation 2638 - 2644
  Kaicheng Huang , Haoliang Qi , Kai Yan
  
• Authorial Language Models For AI Authorship Verification 2645 - 2652
  Weihang Huang , Jack Grieve
  
• Team Text Understanding and Analysis at PAN: Utilizing BERT Series Pre-training Model for Multi-Author Writing Style Analysis 2653 - 2657
  Yingzhou Huang , Leilei Kong
  
• DeBERTa-v3 with R-Drop regularization for Multi-Author Writing Style Analysis 2658 - 2664
  Zhijian Huang , Leilei Kong
  
• Small Language Models and Large Language Models in Oppositional thinking analysis: Capabilities, Biases and Challenges 2665 - 2675
  Álvaro Huertas-García , Carlos Martí-González , Javier Muñoz , Enrique De Miguel Ambite
  
• Team karami-sh at PAN: Transformer-based Ensemble Learning for Multi-Author Writing Style Analysis 2676 - 2681
  Mohammad Karami Sheykhlan , Saleh Kheiri Abdoljabbar , Mona Nouri Mahmoudabad
  
• Team karami-kheiri at PAN: Enhancing Machine-Generated Text Detection with Ensemble Learning Based on Transformer Models 2682 - 2687
  Mohammad Karami Sheykhlan , Saleh Kheiri Abdoljabbar , Mona Nouri Mahmoudabad
  
• Team Gladiators at PAN: Improving Author Identification: A Comparative Analysis of Pre-Trained Transformers for Multi-Author Classification 2688 - 2694
  Areeb Adnan Khan , Mohit Rai , Khuzaima Ali Khan , Syed Jahania Shah , Faisal Alvi , Abdul Samad
  
• Team OpenFact at PAN 2024: Fine-Tuning BERT Models with Stylometric Enhancements 2695 - 2703
  Ewelina Księżniak , Krzysztof Węcel , Marcin Sawiński
  
• Generative AI Authorship Verification based on ChatGLM 2704 - 2709
  Haotian Lei , Xiangyu Liu , Guo Niu , Yan Zhou , Yuexia Zhou
  
• Fine-Tuned Reasoning for Writing Style Analysis 2710 - 2715
  Xiaofeng Liang , Fanzhi Zeng , Yan Zhou , Xiangyu Liu , Yuexia Zhou
  
• NYCU-NLP at PAN 2024: Integrating Transformers with Similarity Adjustments for Multi-Author Writing Style Analysis 2716 - 2721
  Tzu-Mi Lin , Yu-Hsin Wu , Lung-Hao Lee
  
• Voight-Kampff Generative AI Authorship Verification Based on T5 2722 - 2727
  Zhaojian Lin , Fanzhi Zeng , Yan Zhou , Xiangyu Liu , Yuexia Zhou
  
• A Verifying Generative Text Authorship Model With Regularized Dropout 2728 - 2734
  Zijie Lin , Zhongyuan Han , Leilei Kong , Miaoling Chen , Shuyi Zhang , Jiangao Peng , Kaiyin Sun
  
• Team nlpln at PAN 2024: An Approach to Classifying Conspiratorial and Critical Public Health Narratives With Zero-shot and Sequence Labeling 2735 - 2743
  Biao Liu , Zhongyuan Han , Haojie Cao
  
• Team Liuc0757 at PAN: A Writing Style Embedding Method Based on Contrastive Learning for Multi-Author Writing Style Analysis 2744 - 2749
  Chang Liu , Zhongyuan Han , Haoyang Chen , Qingbiao Hu
  
• Team foshan-university-of-guangdong at PAN: Adaptive Entropy-Based Stability-Plasticity for Multi-Author Writing Style Analysis 2750 - 2754
  Xurong Liu , Hui Chen , Jiajun Lv
  
• AI Text Detection Method Based on Perplexity Features with Strided Sliding Window 2755 - 2760
  Xurong Liu , Leilei Kong
  
• BaselineAvengers at PAN 2024: Often-Forgotten Baselines for LLM-Generated Text Detection 2761 - 2768
  Ludwig Lorenz , Funda Zeynep Aygüler , Ferdinand Schlatt , Nailia Mirzakhmedova
  
• Multilingual Text Detoxification Using Google Cloud Translation and Post-Processing 2769 - 2774
  Zhongyu Luo , Man Luo , Aiguo Wang
  
• Meta-Contrastive Learning for Generative AI Authorship Verification 2775 - 2780
  Jiajun Lv , Yong Han , Leilei Kong
  
• Team fosu-stu at PAN: Supervised Fine-Tuning of Large Language Models for Multi Author Writing Style Analysis 2781 - 2786
  Jiajun Lv , Yusheng Yi , Haoliang Qi
  
• Binary Battle: Leveraging Machine Learning and Transfer Learning Models to Distinguish between Conspiracy Theories and Critical Thinking 2787 - 2796
  Sidharth Mahesh , Sonith Divakaran , Kavya Girish , Hosahalli Lakshmaiah Shashirekha
  
• IUCL at PAN 2024: Using Data Augmentation for Conspiracy Theory Detection 2797 - 2806
  Shrirang Mhalgi , Srikar Kashyap Pulipaka , Sandra Kübler
  
• Team aida at PAN: Ensembling Normalized Log Probabilities 2807 - 2813
  Pablo Miralles , Alejandro Martín , David Camacho
  
• Marsan at PAN 2024 TextDetox: ToxiCleanse RL, Paving the Way for Toxicity-Free Online Discourse 2814 - 2823
  Maryam Najafi , Ehsan Tavan , Simon Colreavy
  
• AI Authorship Verification: An Ensembled Approach 2824 - 2828
  Benjamin Ostrower , Jacob Wessell , Abhinav Bindal
  
• A Multilingual Text Detoxification Method Based on Few-shot Learning and CO-STAR Framework 2829 - 2837
  Jiangao Peng , Zhongyuan Han , Huan Zhang , Jingyan Ye , Chang Liu , Biao Liu , Mingcan Guo , Haoyang Chen , Zijie Lin , Yujiao Tang
  
• RoBERTa and Bi-LSTM for Human vs AI Generated Text Detection 2838 - 2842
  Panagiotis Petropoulos , Vasilis Petropoulos
  
• SomethingAwful at PAN 2024 TextDetox: Uncensored Llama 3 Helps to Censor Better 2843 - 2851
  Sergey Pletenev
  
• PAN 2024 Multilingual TextDetox: Exploring Cross-lingual Transfer Using Large Language Models 2852 - 2857
  Vitaly Protasov
  
• A Model Fusion Approach for Generative AI Authorship Verification 2858 - 2865
  Rui Qin , Haoliang Qi , Yusheng Yi
  
• SmurfCat at PAN 2024 TextDetox: Alignment of Multilingual Transformers for Text Detoxification 2866 - 2871
  Elisei Rykov , Konstantin Zaytsev , Ivan Anisimov , Alexandr Voronin
  
• Towards a Computational Framework for Distinguishing Critical and Conspiratorial Texts by Elaborating on the Context and Argumentation with LLMs 2872 - 2880
  Ariana Sahitaj , Premtim Sahitaj , Salar Mohtaj , Sebastian Möller , Vera Schmitt
  
• Team riyahsanjesh at PAN: Multi-feature with CNN and Bi-LSTM Neural Network Approach to Style Change Detection 2881 - 2885
  Riya Sanjesh , Alamelu Mangai
  
• BCAV: A Generative AI Author Verification Model Based on the Integration of Bert and CNN 2886 - 2891
  Guihong Sun , Wenyin Yang , Li Ma
  
• PAN 2024 Multilingual TextDetox: Exploring Different Regimes For Synthetic Data Training For Multilingual Text Detoxification 2892 - 2900
  Nikita Sushko
  
• MarSan at PAN: BinocularsLLM, Fusing Binoculars' Insight with the Proficiency of Large Language Models for Machine-Generated Text Detection 2901 - 2912
  Ehsan Tavan , Maryam Najafi
  
• Conspiracy vs Critical Thinking Using an Ensemble of Transformers with Data Augmentation Techniques 2913 - 2922
  Angelo Maximilian Tulbure , Mariona Coll Ardanuy
  
• Team iimasnlp at PAN: Leveraging Graph Neural Networks and Large Language Models for Generative AI Authorship Verification 2923 - 2929
  Andric Valdez-Valenzuela , Helena Gómez-Adorno
  
• SINAI at PAN 2024 Oppositional Thinking Analysis: Exploring the Fine-Tuning Performance of Large Language Models 2930 - 2940
  María Estrella Vallecillo-Rodríguez , María Teresa Martín-Valdivia , Arturo Montejo-Ráez
  
• SINAI at PAN 2024 TextDetox: Application of Chain of Thought with Self-Consistency Strategy in Large Language Models for Multilingual Text Detoxification 2941 - 2950
  María Estrella Vallecillo-Rodríguez , Arturo Montejo-Ráez , María Teresa Martín-Valdivia
  
• Team baker at PAN: Enhancing Writing Style Change Detection with Virtual Softmax 2951 - 2955
  Bingpei Wu , Yong Han , Kai Yan , Haoliang Qi
  
• Team lm-detector at PAN: Can NLI be an Appropriate Approach to Machine-Generated Text Detection 2956 - 2962
  Guojun Wu , Qinghao Guan
  
• Team bingezzzleep at PAN: A Writing Style Change Analysis Model Based on RoBERTa Encoding and Contrastive Learning for Multi-Author Writing Style Analysis 2963 - 2968
  Qida Wu , Leilei Kong , Zhanhong Ye
  
• BertT: A Hybrid Neural Network Model for Generative AI Authorship Verification 2969 - 2975
  Zepeng Wu , Wenyin Yang , Li Ma , Zikai Zhao
  
• Team cnlp-nits-pp at PAN: Leveraging BERT for Accurate Authorship Verification: A Novel Approach to Textual Attribution 2976 - 2987
  Annepaka Yadagiri , Dimpal Kalita , Abhishek Ranjan , Ashish Kumar Bostan , Parthib Toppo , Partha Pakray
  
• Continual Transfer Learning with Progress Prompt for Multi-Author Writing Style Analysis 2988 - 2994
  Zhanhong Ye , Yutong Zhong , Chen Huang , Leilei Kong
  
• Token Prediction as Implicit Classification for Generative AI Authorship Verification 2995 - 3001
  Zhanhong Ye , Yutong Zhong , Zhen Huang , Leilei Kong
  
• A Conspiracy Theory Text Detection Method based on RoBERTa and XLM-RoBERTa Models 3002 - 3006
  Zhengqiao Zeng , Zhongyuan Han , Jingyan Ye , Yaozu Tan , Haojie Cao , Zengyao Li , Runjin Huang
  
• AI Authorship Verification Based On Deberta Model 3007 - 3011
  Ye Zhu , Leilei Kong
  
• Conspiracy Theory Detection using Transformers with Multi-task and Multilingual Approaches 3012 - 3020
  Leon Zrnić
  
• RAG Meets Detox: Enhancing Text Detoxification Using Open Large Language Models with Retrieval Augmented Generation 3021 - 3031
  Erik Řehulka , Marek Šuppa
  

qCLEF: Quantum Computing at CLEF

• QuantumCLEF 2024: Overview of the Quantum Computing Challenge for Information Retrieval and Recommender Systems at CLEF 3032 - 3053
  Andrea Pasin , Maurizio Ferrari Dacrema , Paolo Cremonesi , Nicola Ferro
  
• Towards a Hyperparameter-Free QUBO Formulation for Feature Selection in IR 3054 - 3063
  Tiago Almeida , Sérgio Matos
  
• Team qIIMAS on Task 2 - Clustering 3064 - 3074
  William Alvarez-Giron , Jorge Tellezz-Torres , Javier Tovar-Cortes , Helena Gómez-Adorno
  
• Team OpenWebSearch at CLEF 2024: QuantumCLEF 3075 - 3081
  Maik Fröbe , Daria Alexander , Gijs Hendriksen , Ferdinand Schlatt , Matthias Hagen , Martin Potthast
  
• Quantum Feature Selection 3082 - 3086
  Shimi Gersome , Jerin Mahibha , Durairaj Thenmozhi
  
• NICA at Quantum Computing CLEF Tasks 2024 3087 - 3095
  Aylin Naebzadeh , Sauleh Eetemadi
  
• CRUISE on Quantum Computing for Feature Selection in Recommender Systems 3096 - 3104
  Jiayang Niu , Jie Li , Ke Deng , Yongli Ren
  
• Team QTB on Feature Selection Via Quantum Annealing and Hybrid Models 3105 - 3114
  Esteban Payares , Edwin Puertas , Juan Carlos Martínez-Santos
  

SimpleText Lab: Improving Access to Scientific Texts for Everyone

• Overview of the CLEF 2024 SimpleText Task 1: Retrieve Passages to Include in a Simplified Summary 3115 - 3128
  Eric Sanjuan , Stéphane Huet , Jaap Kamps , Liana Ermakova
  
• Overview of the CLEF 2024 SimpleText Task 2: Identify and Explain Difficult Concepts 3129 - 3146
  Giorgio Maria Di Nunzio , Federica Vezzani , Vanessa Bonato , Hosein Azarbonyad , Jaap Kamps , Liana Ermakova
  
• Overview of the CLEF 2024 SimpleText Task 3: Simplify Scientific Text 3147 - 3162
  Liana Ermakova , Valentin Laimé , Helen McCombie , Jaap Kamps
  
• Overview of the CLEF 2024 SimpleText Task 4: SOTA? Tracking the State-of-the-Art in Scholarly Publications 3163 - 3173
  Jennifer D'Souza , Salomon Kabongo , Hamed Babaei Giglou , Yue Zhang
  
• Team Sharingans at SimpleText: Fine-tuned LLM based approach to Scientific Text Simplification 3174 - 3181
  Syed Muhammad Ali , Hammad Sajid , Owais Aijaz , Owais Waheed , Faisal Alvi , Abdul Samad
  
• University of Amsterdam at the CLEF 2024 SimpleText Track 3182 - 3194
  Jan Bakker , Göksenin Yüksel , Jaap Kamps
  
• University of Split and University of Malta (Team AB&DPV) at the CLEF 2024 SimpleText Track: Scientific Text Made Simpler Through the Use of Artificial Intelligence 3195 - 3205
  Antonia Bartulović , Dóra Paula Váradi
  
• Enhancing Scientific Document Simplification through Adaptive Retrieval and Generative Models 3206 - 3229
  Artemis Capari , Hosein Azarbonyad , Zubair Afzal , Georgios Tsatsaronis
  
• UNIPD@SimpleText2024: A Semi-Manual Approach on Prompting ChatGPT for Extracting Terms and Write Terminological Definitions 3230 - 3237
  Giorgio Maria Di Nunzio , Elena Gallina , Federica Vezzani
  
• AI Contributions to Simplifying Scientific Discourse in SimpleText 2024 3238 - 3245
  Regina Elagina , Petra Vučić
  
• Exploring the Latest LLMs for Leaderboard Extraction 3246 - 3260
  Salomon Kabongo , Jennifer D'Souza , Sören Auer
  
• AIIR Lab Systems for CLEF 2024 SimpleText: Large Language Models for Text Simplification 3261 - 3273
  Nicholas Largey , Reihaneh Maarefdoust , Shea Durgin , Behrooz Mansouri
  
• CLEF 2024 SimpleText Tasks 1-3: Use of Llama-2 for Text Simplification 3274 - 3283
  Rowan Mann , Tomislav Mikulandric
  
• UZH Pandas at SimpleText2024: Multi-Prompt Minimum Bayes Risk with Diverse Prompts 3284 - 3287
  Andrianos Michail , Pascal Severin Andermatt , Tobias Fankhauser
  
• SINAI Participation in SimpleText Task 2 at CLEF 2024: Zero-shot Prompting on GPT-4-Turbo for Lexical Complexity Prediction 3288 - 3299
  Jenny Ortiz-Zambrano , César Espin-Riofrio , Arturo Montejo-Ráez
  
• AMATU@Simpletext2024: Are LLMs Any Good for Scientific Leaderboard Extraction? 3300 - 3316
  Moritz Staudinger , Alaa El-Ebshihy , Annisa Maulida Ningtyas , Florina Piroi , Allan Hanbury
  
• UBO NLP Report on the SimpleText track at CLEF 2024 3317 - 3340
  Benjamin Vendeville , Liana Ermakova , Pierre De Loor
  

Touché: Argumentation Systems

• Overview of Touché 2024: Argumentation Systems 3341 - 3366
  Johannes Kiesel , Çağrı Çöltekin , Maximilian Heinrich , Maik Fröbe , Milad Alshomary , Bertrand De Longueville , Tomaž Erjavec , Nicolas Handke , Matyáš Kopp , Nikola Ljubešić , Katja Meden , Nailia Mirzakhmedova , Vaidas Morkevičius , Theresa Reitis-Münstermann , Mario Scharfbillig , Nicolas Stefanovitch , Henning Wachsmuth , Martin Potthast , Benno Stein
  
• Team INSA Passau at Touché: Multi-lingual Parliamentary Speech Classification 3367 - 3378
  Maud Andruszak , Alaa Alhamzeh , Elöd Egyed-Zsigmond , Anton Carlsson , Johan Leydet , Yasser Otiefy
  
• Edward Said at Touché: Human Value Detection Using Transformers and Upsampling 3379 - 3383
  Aisha Nur Aydin , Shaden Shaar , Claire Cardie
  
• gerber at Touché: Ideology and Power Identification in Parliamentary Debates 2024 3384 - 3392
  Christian Gerber
  
• Pixel Phantoms at Touché: Ideology and Power Identification in Parliamentary Debates using Linear SVC 3393 - 3400
  Janani Hariharakrishnan , Jithu Morrison S , P Mirunalini
  
• HTW-DIL at Touché: Multimodal Dense Information Retrieval for Arguments 3401 - 3406
  Tamás Janukso , Aaron Kämpf , Denis Keiling , Jessica Knick , David Schäfer , Maik Thiele
  
• SCaLAR NITK at Touché: Comparative Analysis of Machine Learning Models for Human Value Identification 3407 - 3413
  Praveen K , Darshan R K , Chinta Tejdeep Reddy , Anand Kumar M
  
• JU_NLP_DID at Touché: An Attempt to Identify Aspects of Power from Parliamentary Debates 3414 - 3418
  Adnan Khurshid , Dipankar Das , Rajdeep Khaskel , Suchanda Datta
  
• Hierocles of Alexandria at Touché: Multi-task & Multi-head Custom Architecture with Transformer-based Models for Human Value Detection 3419 - 3432
  Sotirios Legkas , Christina Christodoulou , Matthaios Zidianakis , Dimitrios Koutrintzes , Maria Dagioglou , Georgios Petasis
  
• Eric Fromm at Touché: Prompts vs FineTuning for Human Value Detection 3433 - 3446
  Ranjan Mishra , Meike Morren
  
• DS@GT at Touché: Image Search and Ranking via CLIP and Image Generation 3447 - 3450
  Benjamin Ostrower , Patcharapong Aphiwetsa
  
• Policy Parsing Panthers at Touché: Ideology and Power Identification in Parliamentary Debates 3451 - 3477
  Oscar Palmqvist , Johan Jiremalm , Pablo Picazo-Sanchez
  
• Trojan Horses at Touché: Logistic Regression for Classification of Political Debates 3478 - 3482
  Deepak Chandar S , Diya Seshan , Avaneesh Koushik , P Mirunalini
  
• Vayam Solve Kurmaha at Touché: Power Identification in Parliamentary Speeches Using TF-IDF Vectorizer and SVM Classifier 3483 - 3488
  Lakshmi Priya S , Dhannya S M , S Shwetha , Surabhi Kamath , Shreedevi Seluka Balaji , Sai Nikitha N.S.R , Srinidhi Lakshmi Narayanan
  
• HALE Lab NITK at Touché 2024: A Hybrid Approach for Identifying Political Ideology and Power in Multilingual Parliamentary Speeches 3489 - 3495
  Sevitha Simhadri , Mauli Mehulkumar Patel , Sowmya Kamath S.
  
• Ssnites at Touché: Ideology and Power Identification in Parliamentary Debates using BERT Mode 3496 - 3502
  Keerthick V , Kaushik Ananth Kumar S , Kathir Kaman A , P Mirunalini , Sripriya N
  
• Philo of Alexandria at Touché: A Cascade Model Approach to Human Value Detection 3503 - 3508
  Víctor Yeste , Mariona Coll-Ardanuy , Paolo Rosso
  
• Arthur Schopenhauer at Touché 2024: Multi-Lingual Text Classification Using Ensembles of Large Language Models 3509 - 3517
  Hamza Yunis