Minghan Li

According to our database, Minghan Li authored at least 19 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Nearest Neighbor Speculative Decoding for LLM Generation and Attribution.

Minghan Li, Xilun Chen, Ari Holtzman, Beidi Chen, Jimmy Lin, Wen-tau Yih, Xi Victoria Lin

CoRR, 2024

Can Query Expansion Improve Generalization of Strong Cross-Encoder Rankers?

Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

CELI: Simple yet Effective Approach to Enhance Out-of-Domain Generalization of Cross-Encoders.

Crystina Zhang, Minghan Li, Jimmy Lin

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024

Unifying Multimodal Retrieval via Document Screenshot Embedding.

Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval.

Sheng-Chieh Lin, Minghan Li, Jimmy Lin

Trans. Assoc. Comput. Linguistics, 2023

Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers.

Minghan Li, Honglei Zhuang, Kai Hui, Zhen Qin, Jimmy Lin, Rolf Jagerman, Xuanhui Wang, Michael Bendersky

CoRR, 2023

Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction.

Xinyu Zhang, Minghan Li, Jimmy Lin

CoRR, 2023

SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes.

Minghan Li, Sheng-Chieh Lin, Xueguang Ma, Jimmy Lin

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval.

Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval.

Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Query Expansion Using Contextual Clue Sampling with Language Models.

Linqing Liu, Minghan Li, Jimmy Lin, Sebastian Riedel, Pontus Stenetorp

CoRR, 2022

Aggretriever: A Simple Approach to Aggregate Textual Representation for Robust Dense Passage Retrieval.

Sheng-Chieh Lin, Minghan Li, Jimmy Lin

CoRR, 2022

Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking.

Minghan Li, Xinyu Zhang, Ji Xin, Hongyang Zhang, Jimmy Lin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Another Look at DPR: Reproduction of Training and Replication of Retrieval.

Xueguang Ma, Kai Sun, Ronak Pradeep, Minghan Li, Jimmy Lin

Proceedings of the Advances in Information Retrieval, 2022

2021

Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering.

Minghan Li, Jimmy Lin

CoRR, 2021

Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval.

Xueguang Ma, Minghan Li, Kai Sun, Ji Xin, Jimmy Lin

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Multi-Task Dense Retrieval via Model Uncertainty Fusion for Open-Domain Question Answering.

Minghan Li, Ming Li, Kun Xiong, Jimmy Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020

Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures.

Minghan Li, He Bai, Luchen Tan, Kun Xiong, Ming Li, Jimmy Lin

CoRR, 2020

2018

Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling.

Minghan Li, Tanli Zuo, Ruicheng Li, Martha White, Weishi Zheng

CoRR, 2018