Report on the 1st Workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) at SIGIR 2024

TL;DR

The workshop highlighted the emerging role of large language models in evaluating information retrieval systems, fostering discussions on their applications, challenges, and future directions in the field.

Contribution

This report introduces the first workshop dedicated to exploring the use of LLMs for evaluation in IR, emphasizing community engagement and interdisciplinary dialogue.

Findings

Increased interest in LLM-based evaluation methods.

Identification of key challenges and opportunities.

Promotion of collaborative research efforts.

Abstract

The first edition of the workshop on Large Language Model for Evaluation in Information Retrieval (LLM4Eval 2024) took place in July 2024, co-located with the ACM SIGIR Conference 2024 in the USA (SIGIR 2024). The aim was to bring information retrieval researchers together around the topic of LLMs for evaluation in information retrieval that gathered attention with the advancement of large language models and generative AI. Given the novelty of the topic, the workshop was focused around multi-sided discussions, namely panels and poster sessions of the accepted proceedings papers.