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