Publications
Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval
Luyu Gao and Jamie Callan
The 60th Annual Meeting of the Association for Computational Linguistics (ACL 2022; To Appear) PaperCondenser: a Pre-training Architecture for Dense Retrieval
Luyu Gao and Jamie Callan
In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2021. PaperScaling Deep Contrastive Learning Batch Size under Memory Limited Setup
Luyu Gao, Yunyi Zhang, Jiawei Han and Jamie Callan
The 6th Workshop on Representation Learning for NLP (RepL4NLP). 2021. PaperCOIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List
Luyu Gao, Zhuyun Dai, and Jamie Callan
Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL). 2021. PaperComplementing Lexical Retrieval with Semantic Residual Embedding
Luyu Gao, Zhuyun Dai, Tongfei Chen, Zhen Fan, Benjamin Van Durme and Jamie Callan
In proceedings of the 42nd European Conference in Information Retrieval (ECIR). 2021. Paper SlidesRethink Training of BERT Rerankers in Multi-Stage Retrieval Pipeline
Luyu Gao, Zhuyun Dai, Jamie Callan
In proceedings of the 42nd European Conference in Information Retrieval (ECIR). 2021. PaperModularized transfomer-based ranking framework
Luyu Gao, Zhuyun Dai, and Jamie Callan
In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) PaperImproving Target-side Lexical Transfer in Multilingual Neural Machine Translation
Luyu Gao, Xinyi Wang, Graham Neubig
Findings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) PaperUnderstanding BERT rankers under distillation
Luyu Gao, Zhuyun Dai, and Jamie Callan
Best Short Paper
In Proceedings of the 2020 ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR) PaperEARL: Speedup transformer-based rankers with pre-computed representation
Luyu Gao, Zhuyun Dai, and Jamie Callan
arXiv:2004.13313. 2020. Paper