Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling. - Minghan Li 002; Tanli Zuo; Ruicheng Li; Martha White; Weishi Zheng 001 (CoRR, 2018)

Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures. - Minghan Li 002; He Bai 002; Luchen Tan; Kun Xiong; Ming Li 001; Jimmy Lin (CoRR, 2020)

Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering. - Minghan Li 002; Ming Li 001; Kun Xiong; Jimmy Lin (EMNLP (Findings), 2021)

Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval. - Xueguang Ma; Minghan Li 002; Kai Sun; Ji Xin; Jimmy Lin (EMNLP (1), 2021)

Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering. - Minghan Li 002; Jimmy Lin (CoRR, 2021)

Another Look at DPR: Reproduction of Training and Replication of Retrieval. - Xueguang Ma; Kai Sun; Ronak Pradeep; Minghan Li 002; Jimmy Lin (ECIR (1), 2022)

Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking. - Minghan Li 002; Xinyu Zhang 018; Ji Xin; Hongyang Zhang 001; Jimmy Lin (EMNLP, 2022)

Aggretriever: A Simple Approach to Aggregate Textual Representation for Robust Dense Passage Retrieval. - Sheng-Chieh Lin; Minghan Li 002; Jimmy Lin (CoRR, 2022)

Query Expansion Using Contextual Clue Sampling with Language Models. - Linqing Liu; Minghan Li 002; Jimmy Lin; Sebastian Riedel 001; Pontus Stenetorp (CoRR, 2022)

CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. - Minghan Li 002; Sheng-Chieh Lin; Barlas Oguz; Asish Ghoshal; Jimmy Lin; Yashar Mehdad; Wen-tau Yih; Xilun Chen 002 (ACL (1), 2023)

How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. - Sheng-Chieh Lin; Akari Asai; Minghan Li 002; Barlas Oguz; Jimmy Lin; Yashar Mehdad; Wen-tau Yih; Xilun Chen 002 (EMNLP (Findings), 2023)

SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes. - Minghan Li 002; Sheng-Chieh Lin; Xueguang Ma; Jimmy Lin (SIGIR, 2023)

Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction. - Xinyu Zhang 018; Minghan Li 002; Jimmy Lin (CoRR, 2023)

Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers. - Minghan Li 002; Honglei Zhuang; Kai Hui 001; Zhen Qin 001; Jimmy Lin; Rolf Jagerman; Xuanhui Wang; Michael Bendersky (CoRR, 2023)

Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval. - Sheng-Chieh Lin; Minghan Li 002; Jimmy Lin (Trans. Assoc. Comput. Linguistics, 2023)

Unifying Multimodal Retrieval via Document Screenshot Embedding. - Xueguang Ma; Sheng-Chieh Lin; Minghan Li 002; Wenhu Chen; Jimmy Lin (EMNLP, 2024)

CELI: Simple yet Effective Approach to Enhance Out-of-Domain Generalization of Cross-Encoders. - Xinyu Zhang 018; Minghan Li 002; Jimmy Lin (NAACL (Short Papers), 2024)

Nearest Neighbor Speculative Decoding for LLM Generation and Attribution. - Minghan Li 002; Xilun Chen 002; Ari Holtzman; Beidi Chen; Jimmy Lin; Scott Yih; Victoria Lin 002 (NeurIPS, 2024)

Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers? - Minghan Li 002; Honglei Zhuang; Kai Hui 001; Zhen Qin 001; Jimmy Lin; Rolf Jagerman; Xuanhui Wang; Michael Bendersky (SIGIR, 2024)