Luyu Gao

According to our database, Luyu Gao authored at least 32 papers between 2017 and 2024.

Collaborative distances:

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

2024

SciCode: A Research Coding Benchmark Curated by Scientists.

Minyang Tian, Luyu Gao, Shizhuo Dylan Zhang, Xinan Chen, Cunwei Fan, Xuefei Guo, Roland Haas, Pan Ji, Kittithat Krongchon, Yao Li, Shengyan Liu, Di Luo, Yutao Ma, Hao Tong, Kha Trinh, Chenyu Tian, Zihan Wang, Bohao Wu, Yanyu Xiong, Shengzhu Yin, Minhui Zhu, Kilian Lieret, Yanxin Lu, Genglin Liu, Yufeng Du, Tianhua Tao, Ofir Press, Jamie Callan, Eliu A. Huerta, Hao Peng

CoRR, 2024

FLAME: Factuality-Aware Alignment for Large Language Models.

Sheng-Chieh Lin, Luyu Gao, Barlas Oguz, Wenhan Xiong, Jimmy Lin, Wen-tau Yih, Xilun Chen

CoRR, 2024

In-Context Principle Learning from Mistakes.

Tianjun Zhang, Aman Madaan, Luyu Gao, Steven Zheng, Swaroop Mishra, Yiming Yang, Niket Tandon, Uri Alon

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest.

Ruohong Zhang, Luyu Gao, Chen Zheng, Zhen Fan, Guokun Lai, Zheng Zhang, Fangzhou Ai, Yiming Yang, Hongxia Yang

CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.

Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Sean Welleck, Bodhisattwa Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, Peter Clark

CoRR, 2023

Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval.

Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan

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

Self-Refine: Iterative Refinement with Self-Feedback.

Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CSurF: Sparse Lexical Retrieval through Contextualized Surface Forms.

Zhen Fan, Luyu Gao, Jamie Callan

Proceedings of the 2023 ACM SIGIR International Conference on Theory of Information Retrieval, 2023

PAL: Program-aided Language Models.

Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, Graham Neubig

Proceedings of the International Conference on Machine Learning, 2023

Active Retrieval Augmented Generation.

Zhengbao Jiang, Frank F. Xu, Luyu Gao, Zhiqing Sun, Qian Liu, Jane Dwivedi-Yu, Yiming Yang, Jamie Callan, Graham Neubig

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

COILcr: Efficient Semantic Matching in Contextualized Exact Match Retrieval.

Zhen Fan, Luyu Gao, Rohan Jha, Jamie Callan

Proceedings of the Advances in Information Retrieval, 2023

Precise Zero-Shot Dense Retrieval without Relevance Labels.

Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan

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

RARR: Researching and Revising What Language Models Say, Using Language Models.

Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu

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

DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions.

Vijay Viswanathan, Luyu Gao, Tongshuang Wu, Pengfei Liu, Graham Neubig

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

2022

Attributed Text Generation via Post-hoc Research and Revision.

Luyu Gao, Zhuyun Dai, Panupong Pasupat, Anthony Chen, Arun Tejasvi Chaganty, Yicheng Fan, Vincent Y. Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, Kelvin Guu

CoRR, 2022

Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval.

Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan

CoRR, 2022

Long Document Re-ranking with Modular Re-ranker.

Luyu Gao, Jamie Callan

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer.

Zhengbao Jiang, Luyu Gao, Zhiruo Wang, Jun Araki, Haibo Ding, Jamie Callan, Graham Neubig

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

Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval.

Luyu Gao, Jamie Callan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Is Your Language Model Ready for Dense Representation Fine-tuning?

Luyu Gao, Jamie Callan

CoRR, 2021

Scaling Deep Contrastive Learning Batch Size with Almost Constant Peak Memory Usage.

Luyu Gao, Yunyi Zhang

CoRR, 2021

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup.

Luyu Gao, Yunyi Zhang, Jiawei Han, Jamie Callan

Proceedings of the 6th Workshop on Representation Learning for NLP, 2021

COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List.

Luyu Gao, Zhuyun Dai, Jamie Callan

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Condenser: a Pre-training Architecture for Dense Retrieval.

Luyu Gao, Jamie Callan

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

Complement Lexical Retrieval Model with Semantic Residual Embeddings.

Luyu Gao, Zhuyun Dai, Tongfei Chen, Zhen Fan, Benjamin Van Durme, Jamie Callan

Proceedings of the Advances in Information Retrieval, 2021

Rethink Training of BERT Rerankers in Multi-stage Retrieval Pipeline.

Luyu Gao, Zhuyun Dai, Jamie Callan

Proceedings of the Advances in Information Retrieval, 2021

2020

Complementing Lexical Retrieval with Semantic Residual Embedding.

Luyu Gao, Zhuyun Dai, Zhen Fan, Jamie Callan

CoRR, 2020

EARL: Speedup Transformer-based Rankers with Pre-computed Representation.

Luyu Gao, Zhuyun Dai, Jamie Callan

CoRR, 2020

Understanding BERT Rankers Under Distillation.

Luyu Gao, Zhuyun Dai, Jamie Callan

Proceedings of the ICTIR '20: The 2020 ACM SIGIR International Conference on the Theory of Information Retrieval, 2020

Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation.

Luyu Gao, Xinyi Wang, Graham Neubig

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Modularized Transfomer-based Ranking Framework.

Luyu Gao, Zhuyun Dai, Jamie Callan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2017

Spatiotemporal Traffic Modeling Based on Frequent Pattern Mining in Wireless Cellular Network.

Luyu Gao, Xing Zhang, Wenbo Wang, Qiangqiang Shen

Proceedings of the 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, 2017