Minghan Li

Orcid: 0009-0007-8972-7714

Affiliations:
  • Universtiy of Waterloo, Waterloo, ON, Canada
  • Sun Yat-Sen University (SYSU), School of Data and Computer Science, Guangzhou, China (former)


According to our database1, Minghan Li authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
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Article 
PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2023
Generate, Filter, and Fuse: Query Expansion via Multi-Step Keyword Generation for Zero-Shot Neural Rankers.
CoRR, 2023

Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction.
CoRR, 2023

SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes.
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.
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.
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.
CoRR, 2022

Aggretriever: A Simple Approach to Aggregate Textual Representation for Robust Dense Passage Retrieval.
CoRR, 2022

Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Another Look at DPR: Reproduction of Training and Replication of Retrieval.
Proceedings of the Advances in Information Retrieval, 2022

2021
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering.
CoRR, 2021

Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

2020
Latte-Mix: Measuring Sentence Semantic Similarity with Latent Categorical Mixtures.
CoRR, 2020

2018
Accelerating Large Scale Knowledge Distillation via Dynamic Importance Sampling.
CoRR, 2018


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