| 2026 | ACL | BrowseComp-Plus: A Fair and Disentangled Evaluation Benchmark for Deep Search Agents. | Zijian Chen, Xueguang Ma, Shengyao Zhuang, Ping Nie, Kai Zou, Sahel Sharifymoghaddam, Andrew Liu, Joshua Green, Kshama Patel, Ruoxi Meng, Mingyi Su, Yanxi Li, Haoran Hong, Xinyu Shi, Xuye Liu, Hosna Oyarhoseini, Nandan Thakur, Crystina Zhang, Luyu Gao, Wenhu Chen, Jimmy Lin |
| 2026 | ECIR | Do We Still Need Text Features for Video Retrieval in the Era of Vision-Language Models? | Jiaqi Samantha Zhan, Crystina Zhang, Shengyao Zhuang, Xueguang Ma, Jimmy Lin |
| 2026 | SIGIR | LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum. | Zhichao Xu, Shengyao Zhuang, Crystina Zhang, Xueguang Ma, Yijun Tian, Maitrey Mehta, Jimmy Lin, Vivek Srikumar |
| 2026 | SIGIR | Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning. | Shengyao Zhuang, Xueguang Ma, Zheng Yao, Shuai Wang, Bevan Koopman, Jimmy Lin, Guido Zuccon |
| 2025 | ACL | DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers. | Xueguang Ma, Xi Victoria Lin, Barlas Oguz, Jimmy Lin, Wen-tau Yih, Xilun Chen |
| 2025 | ACL | VISA: Retrieval Augmented Generation with Visual Source Attribution. | Xueguang Ma, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Wenhu Chen, Jimmy Lin |
| 2025 | EMNLP | Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs. | Nandan Thakur, Crystina Zhang, Xueguang Ma, Jimmy Lin |
| 2025 | SIGIR | Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini. | Jimmy Lin, Arthur Haonan Chen, Carlos Lassance, Xueguang Ma, Ronak Pradeep, Tommaso Teofili, Jasper Xian, Jheng-Hong Yang, Brayden Zhong, Vincent Zhong |
| 2025 | SIGIR | 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 |
| 2025 | SIGIR | Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks. | Shengyao Zhuang, Ekaterina Khramtsova, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon |
| 2025 | SIGIR | R | Guido Zuccon, Shengyao Zhuang, Xueguang Ma |
| 2024 | EMNLP | Unifying Multimodal Retrieval via Document Screenshot Embedding. | Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin |
| 2024 | EMNLP | Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering. | Yubo Wang, Xueguang Ma, Wenhu Chen |
| 2024 | EMNLP | PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval. | Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon |
| 2024 | NAACL | Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models. | Raphael Tang, Xinyu Zhang, Xueguang Ma, Jimmy Lin, Ferhan Ture |
| 2024 | SIGIR | Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses. | Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin |
| 2024 | SIGIR | Fine-Tuning LLaMA for Multi-Stage Text Retrieval. | Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin |
| 2023 | ACL | Precise Zero-Shot Dense Retrieval without Relevance Labels. | Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan |
| 2023 | ACL | Few-shot In-context Learning on Knowledge Base Question Answering. | Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen |
| 2023 | CIKM | Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes. | Xueguang Ma, Tommaso Teofili, Jimmy Lin |
| 2023 | EMNLP | TheoremQA: A Theorem-driven Question Answering Dataset. | Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia |
| 2023 | SIGIR | Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval. | Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan |
| 2023 | SIGIR | SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes. | Minghan Li, Sheng-Chieh Lin, Xueguang Ma, Jimmy Lin |
| 2022 | ADCS | Pseudo-Relevance Feedback with Dense Retrievers in Pyserini. | Hang Li, Shengyao Zhuang, Xueguang Ma, Jimmy Lin, Guido Zuccon |
| 2022 | ECIR | Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. | Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon |
| 2022 | ECIR | Another Look at DPR: Reproduction of Training and Replication of Retrieval. | Xueguang Ma, Kai Sun, Ronak Pradeep, Minghan Li, Jimmy Lin |
| 2022 | SIGIR | To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. | Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon |
| 2022 | SIGIR | Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2. | Xueguang Ma, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin |
| 2021 | EMNLP | Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval. | Xueguang Ma, Minghan Li, Kai Sun, Ji Xin, Jimmy Lin |
| 2021 | SIGIR | Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. | Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira |
| 2021 | SIGIR | Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search. | Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin |