13 citations · 44 across the 11 of their papers we have counts for
4 papers · 1 filter
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval
Minghan Li, Sheng-Chieh Lin, Barlas Oguz +5
Multi-vector retrieval methods combine the merits of sparse (e.g. BM25) and dense (e.g. DPR) retrievers and have achieved state-of-the-art performance on various retrieval tasks. T…
Query Expansion Using Contextual Clue Sampling with Language Models
Linqing Liu, Minghan Li, Jimmy Lin +2
Query expansion is an effective approach for mitigating vocabulary mismatch between queries and documents in information retrieval. One recent line of research uses language models…
Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval
Sheng-Chieh Lin, Minghan Li, Jimmy Lin
Pre-trained language models have been successful in many knowledge-intensive NLP tasks. However, recent work has shown that models such as BERT are not ``structurally ready'' to ag…
Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking
Minghan Li, Xinyu Zhang, Ji Xin +2
In information retrieval (IR), candidate set pruning has been commonly used to speed up two-stage relevance ranking. However, such an approach lacks accurate error control and ofte…