Spatiotemporal Traffic Modeling Based on Frequent Pattern Mining in Wireless Cellular Network. - Luyu Gao; Xing Zhang 001; Wenbo Wang 007; Qiangqiang Shen (iThings/GreenCom/CPSCom/SmartData, 2017)

Modularized Transfomer-based Ranking Framework. - Luyu Gao; Zhuyun Dai; Jamie Callan (EMNLP (1), 2020)

Improving Target-side Lexical Transfer in Multilingual Neural Machine Translation. - Luyu Gao; Xinyi Wang 001; Graham Neubig (EMNLP (Findings), 2020)

Understanding BERT Rankers Under Distillation. - Luyu Gao; Zhuyun Dai; Jamie Callan (ICTIR, 2020)

EARL: Speedup Transformer-based Rankers with Pre-computed Representation. - Luyu Gao; Zhuyun Dai; Jamie Callan (CoRR, 2020)

Complementing Lexical Retrieval with Semantic Residual Embedding. - Luyu Gao; Zhuyun Dai; Zhen Fan 003; Jamie Callan (CoRR, 2020)

Rethink Training of BERT Rerankers in Multi-stage Retrieval Pipeline. - Luyu Gao; Zhuyun Dai; Jamie Callan (ECIR (2), 2021)

Complement Lexical Retrieval Model with Semantic Residual Embeddings. - Luyu Gao; Zhuyun Dai; Tongfei Chen; Zhen Fan 003; Benjamin Van Durme; Jamie Callan (ECIR (1), 2021)

Condenser: a Pre-training Architecture for Dense Retrieval. - Luyu Gao; Jamie Callan (EMNLP (1), 2021)

COIL: Revisit Exact Lexical Match in Information Retrieval with Contextualized Inverted List. - Luyu Gao; Zhuyun Dai; Jamie Callan (NAACL-HLT, 2021)

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup. - Luyu Gao; Yunyi Zhang 001; Jiawei Han 001; Jamie Callan (RepL4NLP@ACL-IJCNLP, 2021)

Scaling Deep Contrastive Learning Batch Size with Almost Constant Peak Memory Usage. - Luyu Gao; Yunyi Zhang (CoRR, 2021)

Is Your Language Model Ready for Dense Representation Fine-tuning? - Luyu Gao; Jamie Callan (CoRR, 2021)

Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval. - Luyu Gao; Jamie Callan (ACL (1), 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 (EMNLP, 2022)

Long Document Re-ranking with Modular Re-ranker. - Luyu Gao; Jamie Callan (SIGIR, 2022)

Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval. - Luyu Gao; Xueguang Ma; Jimmy Lin; Jamie Callan (CoRR, 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)

DataFinder: Scientific Dataset Recommendation from Natural Language Descriptions. - Vijay Viswanathan 002; Luyu Gao; Tongshuang Wu; Pengfei Liu 003; Graham Neubig (ACL (1), 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 (ACL (1), 2023)

Precise Zero-Shot Dense Retrieval without Relevance Labels. - Luyu Gao; Xueguang Ma; Jimmy Lin; Jamie Callan (ACL (1), 2023)

COILcr: Efficient Semantic Matching in Contextualized Exact Match Retrieval. - Zhen Fan 003; Luyu Gao; Rohan Jha; Jamie Callan (ECIR (1), 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 (EMNLP, 2023)

PAL: Program-aided Language Models. - Luyu Gao; Aman Madaan; Shuyan Zhou; Uri Alon 002; Pengfei Liu 003; Yiming Yang; Jamie Callan; Graham Neubig (ICML, 2023)

CSurF: Sparse Lexical Retrieval through Contextualized Surface Forms. - Zhen Fan 003; Luyu Gao; Jamie Callan (ICTIR, 2023)

Self-Refine: Iterative Refinement with Self-Feedback. - Aman Madaan; Niket Tandon; Prakhar Gupta; Skyler Hallinan; Luyu Gao; Sarah Wiegreffe; Uri Alon 002; Nouha Dziri; Shrimai Prabhumoye; Yiming Yang; Shashank Gupta; Bodhisattwa Prasad Majumder; et al. (NeurIPS, 2023)

Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval. - Luyu Gao; Xueguang Ma; Jimmy Lin; Jamie Callan (SIGIR, 2023)

Self-Refine: Iterative Refinement with Self-Feedback. - Aman Madaan; Niket Tandon; Prakhar Gupta; Skyler Hallinan; Luyu Gao; Sarah Wiegreffe; Uri Alon 002; Nouha Dziri; Shrimai Prabhumoye; Yiming Yang; Sean Welleck; Bodhisattwa Prasad Majumder; et al. (CoRR, 2023)

A Self-enhancement Approach for Domain-specific Chatbot Training via Knowledge Mining and Digest. - Ruohong Zhang; Luyu Gao; Chen Zheng; Zhen Fan 003; Guokun Lai; Zheng Zhang; Fangzhou Ai; Yiming Yang; Hongxia Yang (CoRR, 2023)

In-Context Principle Learning from Mistakes. - Tianjun Zhang; Aman Madaan; Luyu Gao; Steven Zheng; Swaroop Mishra; Yiming Yang; Niket Tandon; Uri Alon 002 (ICML, 2024)

FLAME : Factuality-Aware Alignment for Large Language Models. - Sheng-Chieh Lin; Luyu Gao; Barlas Oguz; Wenhan Xiong; Jimmy Lin; Scott Yih; Xilun Chen 002 (NeurIPS, 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; et al. (NeurIPS, 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; et al. (CoRR, 2024)

ACER: Automatic Language Model Context Extension via Retrieval. - Luyu Gao; Yunyi Zhang 001; Jamie Callan (CoRR, 2024)

Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality. - Xueguang Ma; Luyu Gao; Shengyao Zhuang; Jiaqi Samantha Zhan; Jamie Callan; Jimmy Lin (SIGIR, 2025)

Repository-level Code Search with Neural Retrieval Methods. - Siddharth Gandhi; Luyu Gao; Jamie Callan (CoRR, 2025)

Magistral. - Abhinav Rastogi; Albert Q. Jiang; Andy Lo; Gabrielle Berrada; Guillaume Lample; Jason Rute; Joep Barmentlo; Karmesh Yadav; Kartik Khandelwal; Khyathi Raghavi Chandu; Léonard Blier; Lucile Saulnier; et al. (CoRR, 2025)

Voxtral. - Alexander H. Liu; Andy Ehrenberg; Andy Lo; Clément Denoix; Corentin Barreau; Guillaume Lample; Jean-Malo Delignon; Khyathi Raghavi Chandu; Patrick von Platen; Pavankumar Reddy Muddireddy; Sanchit Gandhi; Soham Ghosh; et al. (CoRR, 2025)

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent. - Zijian Chen; Xueguang Ma; Shengyao Zhuang; Ping Nie; Kai Zou; Andrew Liu; Joshua Green; Kshama Patel; Ruoxi Meng; Mingyi Su; Sahel Sharifymoghaddam; Yanxi Li; et al. (CoRR, 2025)