Hai Son Le

Large Language Models (LLMs) are now widely used for query reformulation and expansion in Information Retrieval, with many studies reporting substantial effectiveness gains. However, these results are typically obtained under heterogeneous experimental conditions, making it difficult to assess wh...

Peer review is central to scientific decision-making, yet it is rarely evaluated or audited at scale. Growing submission volumes and the increasing use of large language models (LLMs) in drafting reviews have introduced new challenges for transparency, accountability, and quality control. Today,...

Information Retrieval systems can amplify societal inequalities when training data and ranking algorithms encode biases toward certain gender identities. Query reformulation methods are known to improve retrieval effectiveness, yet they seldom treat retrieval fairness as a first-class criterion....