IR-RAG 2025
Information Retrieval's Role in RAG Systems 2025

Table of Contents

• Summary: There were 12 papers submitted for peer-review to this workshop. Out of these, 6 papers were accepted for this volume, 3 as regular papers and 3 as short papers.

• Walk&Retrieve: Simple Yet Effective Zero-Shot Retrieval-Augmented Generation via Knowledge Graph Walks (LaTeX, 1-col) 1-11
  Martin Böckling, Heiko Paulheim, Andreea Iana
• HybridRAG: A Practical LLM-based Chatbot Framework based on Pre-Generated Q&A over Raw Unstructured Documents (LaTeX, 1-col) 12-21
  Sungmoon Kim, Hyuna Jeon, Dahye Kim, Mingyu Kim, Dong-Kyu Chae, Jiwoong Kim
• Am I on the Right Track? What Can Predicted Query Performance Tell Us about the Search Behaviour of Agentic RAG (LaTeX, 1-col) 22-41
  Fangzheng Tian, Jinyuan Fang, Debasis Ganguly, Zaiqiao Meng, Craig Macdonald
• Re-ranking the Context for Multimodal Retrieval Augmented Generation (LaTeX, 1-col) 42-48
  Matin Mortaheb, Mohammad A. Khojastepour, Srimat T. Chakradhar, Sennur Ulukus
• TComQA: Extracting Temporal Commonsense from Text (LaTeX, 1-col) 49-57
  Lekshmi R Nair, Arun Sankar, Koninika Pal
• Automated Evaluation of RAG Systems for Customer Support in Automotive Applications (LaTeX, 1-col) 58-61
  Luis Alexander Wagner, Gayane Sedrakyan, Jos van Hillegersberg