PromptEng 2026
Prompt Engineering for Pre-Trained Language Models 2026

Table of Contents

• Preface
  Summary: There were 12 papers submitted for peer-review to this workshop, 9 were accepted. Out of these, 7 papers were integrated to this volume.

Papers

• Reasoning vs. Critic-Based Verification for Biomedical Relation Extraction with Large Language Models 1-8
  Ali Assi , Nour Elislem Karabadji , Mohamed Elati , Wajdi Dhifli
• TAPR: Enhancing LLM Performance with a Task-Aware Prompt Rewriter 9-33
  Oliver Savolainen , Emanuele Bastianelli , Hosein Azarbonyad , Ana Lucic
• Let My Crush See Me: Social-Facilitation Prompting for Zero-Shot LLM Performance Gains 34-38
  Vikranth Udandarao
• Extracting Narrative Structure from Online Labor Discourse: A Prompt-Based Operationalization of the Actantial Model 39-52
  Yuntong Ji
• WordWeaver: Interactive System for Facilitating Digital Story Illustration 53-60
  Maryam Kermanshahani , Sajad Shirali-Shahreza , Gerald Penn
• Evaluating Mathematical Reasoning in Large Language Models: A Comprehensive Analysis of Prompting Strategies on the Google DeepMind Mathematics Dataset 61-70
  Saanidhya Vats , Rui Min , Subramanyam Sahoo , Siddharth Mohapatra , Aman Chadha , Vinija Jain , Divya Chaudhary
• Probing Instruction Execution Stability of Large Language Models under Semantic Paraphrase 71-84
  Bodhisatta Maiti , Debshree Chowdhury