OracleY/

ConfRAG

ConfRAG is a benchmark dataset for evaluating how large language models (LLMs) reason over conflicting information in retrieval-augmented generation (RAG) settings.

Paper: Benchmarking LLM's Capability in Reasoning over Conflicting Web References Yizhen Yuan, Rui Kong, Dongze Li, Yuanchun Li†, Yunxin Liu Institute for AI Industry Research (AIR), Tsinghua University · Shanghai Jiao Tong University Accepted at ACL… See the full description on the dataset page: https://huggingface.co/datasets/OracleY/ConfRAG.