Xueguang Ma

Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study

2021 · arXiv (Cornell University)

Pseudo-Relevance Feedback (PRF) utilises the relevance signals from the top-k passages from the first round of retrieval to perform a second round of retrieval aiming to improve search effectiveness. A recent research direction has been …

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent

2025 · arXiv (Cornell University)

Deep-Research agents, which integrate large language models (LLMs) with search tools, have shown success in improving the effectiveness of handling complex queries that require iterative search planning and reasoning over search results. Evaluations on current …