VISA: Retrieval Augmented Generation with Visual Source Attribution. - Ma, Xueguang; Zhuang, Shengyao; Koopman, Bevan; Zuccon, Guido; Chen, Wenhu; Lin, Jimmy (2025)

DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers. - Ma, Xueguang; Lin, Xi Victoria; Oguz, Barlas; Lin, Jimmy; Yih, Wen-tau; Chen, Xilun (2025)

Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks. - Zhuang, Shengyao; Khramtsova, Ekaterina; Ma, Xueguang; Koopman, Bevan; Lin, Jimmy; Zuccon, Guido (2025)

Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini. - Lin, Jimmy; Chen, Arthur Haonan; Lassance, Carlos; Ma, Xueguang; Pradeep, Ronak; Teofili, Tommaso; Xian, Jasper; Yang, Jheng-Hong; Zhong, Brayden; Zhong, Vincent (2025)

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

R2LLMs: Retrieval and Ranking with LLMs. - Zuccon, Guido; Zhuang, Shengyao; Ma, Xueguang (2025)

Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks. - Zhuang, Shengyao; Khramtsova, Ekaterina; Ma, Xueguang; Koopman, Bevan; Lin, Jimmy; Zuccon, Guido (CoRR, 2025)

PixelWorld: Towards Perceiving Everything as Pixels. - Lyu, Zhiheng; Ma, Xueguang; Chen, Wenhu (CoRR, 2025)

DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers. - Ma, Xueguang; Lin, Xi Victoria; Oguz, Barlas; Lin, Jimmy; Yih, Wen-tau; Chen, Xilun (CoRR, 2025)

Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning. - Zhuang, Shengyao; Ma, Xueguang; Koopman, Bevan; Lin, Jimmy; Zuccon, Guido (CoRR, 2025)

ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations. - Wang, Yubo; Ma, Xueguang; Nie, Ping; Zeng, Huaye; Lyu, Zhiheng; Zhang, Yuxuan; Schneider, Benjamin; Lu, Yi; Yue, Xiang; Chen, Wenhu (CoRR, 2025)

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

General-Reasoner: Advancing LLM Reasoning Across All Domains. - Ma, Xueguang; Liu, Qian; Jiang, Dongfu; Zhang, Ge; Ma, Zejun; Chen, Wenhu (CoRR, 2025)

Fixing Data That Hurts Performance: Cascading LLMs to Relabel Hard Negatives for Robust Information Retrieval. - Thakur, Nandan; Zhang, Crystina; Ma, Xueguang; Lin, Jimmy (CoRR, 2025)

MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed. - Zhan, Jiaqi Samantha; Zhang, Crystina; Zhuang, Shengyao; Ma, Xueguang; Lin, Jimmy (CoRR, 2025)

Toward Best Practices for Training Multilingual Dense Retrieval Models. - Zhang, Xinyu; Ogueji, Kelechi; Ma, Xueguang; Lin, Jimmy (ACM Trans. Inf. Syst., 2024)

Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering. - Wang, Yubo; Ma, Xueguang; Chen, Wenhu (2024)

PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval. - Zhuang, Shengyao; Ma, Xueguang; Koopman, Bevan; Lin, Jimmy; Zuccon, Guido (2024)

Unifying Multimodal Retrieval via Document Screenshot Embedding. - Ma, Xueguang; Lin, Sheng-Chieh; Li, Minghan; Chen, Wenhu; Lin, Jimmy (2024)

Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models. - Tang, Raphael; Zhang, Xinyu; Ma, Xueguang; Lin, Jimmy; Ture, Ferhan (2024)

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark. - Wang, Yubo; Ma, Xueguang; Zhang, Ge; Ni, Yuansheng; Chandra, Abhranil; Guo, Shiguang; Ren, Weiming; Arulraj, Aaran; He, Xuan; Jiang, Ziyan; Li, Tianle; Ku, Max; et al. (2024)

Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses. - Kamalloo, Ehsan; Thakur, Nandan; Lassance, Carlos; Ma, Xueguang; Yang, Jheng-Hong; Lin, Jimmy (2024)

Fine-Tuning LLaMA for Multi-Stage Text Retrieval. - Ma, Xueguang; Wang, Liang; Yang, Nan; Wei, Furu; Lin, Jimmy (2024)

PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval. - Zhuang, Shengyao; Ma, Xueguang; Koopman, Bevan; Lin, Jimmy; Zuccon, Guido (CoRR, 2024)

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark. - Wang, Yubo; Ma, Xueguang; Zhang, Ge; Ni, Yuansheng; Chandra, Abhranil; Guo, Shiguang; Ren, Weiming; Arulraj, Aaran; He, Xuan; Jiang, Ziyan; Li, Tianle; Ku, Max; et al. (CoRR, 2024)

Unifying Multimodal Retrieval via Document Screenshot Embedding. - Ma, Xueguang; Lin, Sheng-Chieh; Li, Minghan; Chen, Wenhu; Lin, Jimmy (CoRR, 2024)

LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs. - Jiang, Ziyan; Ma, Xueguang; Chen, Wenhu (CoRR, 2024)

VISA: Retrieval Augmented Generation with Visual Source Attribution. - Ma, Xueguang; Zhuang, Shengyao; Koopman, Bevan; Zuccon, Guido; Chen, Wenhu; Lin, Jimmy (CoRR, 2024)

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. - Chen, Wenhu; Ma, Xueguang; Wang, Xinyi; Cohen, William W. (Trans. Mach. Learn. Res., 2023)

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

Few-shot In-context Learning on Knowledge Base Question Answering. - Li, Tianle; Ma, Xueguang; Zhuang, Alex; Gu, Yu; Su, Yu; Chen, Wenhu (2023)

Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes. - Ma, Xueguang; Teofili, Tommaso; Lin, Jimmy (2023)

TheoremQA: A Theorem-driven Question Answering Dataset. - Chen, Wenhu; Yin, Ming; Ku, Max; Lu, Pan; Wan, Yixin; Ma, Xueguang; Xu, Jianyu; Wang, Xinyi; Xia, Tony (2023)

SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes. - Li, Minghan; Lin, Sheng-Chieh; Ma, Xueguang; Lin, Jimmy (2023)

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

Enhancing Sparse Retrieval via Unsupervised Learning. - Ma, Xueguang; Fun, Hengxin; Yin, Xusen; Mallia, Antonio; Lin, Jimmy (2023)

SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes. - Li, Minghan; Lin, Sheng-Chieh; Ma, Xueguang; Lin, Jimmy (CoRR, 2023)

Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes. - Ma, Xueguang; Teofili, Tommaso; Lin, Jimmy (CoRR, 2023)

Few-shot In-context Learning for Knowledge Base Question Answering. - Li, Tianle; Ma, Xueguang; Zhuang, Alex; Gu, Yu; Su, Yu; Chen, Wenhu (CoRR, 2023)

Zero-Shot Listwise Document Reranking with a Large Language Model. - Ma, Xueguang; Zhang, Xinyu; Pradeep, Ronak; Lin, Jimmy (CoRR, 2023)

TheoremQA: A Theorem-driven Question Answering dataset. - Chen, Wenhu; Yin, Ming; Ku, Max; Lu, Pan; Wan, Yixin; Ma, Xueguang; Xu, Jianyu; Wang, Xinyi; Xia, Tony (CoRR, 2023)

Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard. - Kamalloo, Ehsan; Thakur, Nandan; Lassance, Carlos; Ma, Xueguang; Yang, Jheng-Hong; Lin, Jimmy (CoRR, 2023)

Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering. - Wang, Yubo; Ma, Xueguang; Chen, Wenhu (CoRR, 2023)

Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models. - Tang, Raphael; Zhang, Xinyu; Ma, Xueguang; Lin, Jimmy; Ture, Ferhan (CoRR, 2023)

Fine-Tuning LLaMA for Multi-Stage Text Retrieval. - Ma, Xueguang; Wang, Liang; Yang, Nan; Wei, Furu; Lin, Jimmy (CoRR, 2023)

Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management. - Parmentier, Alexandre; Cohen, Robin; Ma, Xueguang; Sahu, Gaurav; Chen, Queenie (Int. J. Data Sci. Anal., 2022)

Pseudo-Relevance Feedback with Dense Retrievers in Pyserini. - Li, Hang; Zhuang, Shengyao; Ma, Xueguang; Lin, Jimmy; Zuccon, Guido (2022)

Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. - Li, Hang; Zhuang, Shengyao; Mourad, Ahmed; Ma, Xueguang; Lin, Jimmy; Zuccon, Guido (2022)

Another Look at DPR: Reproduction of Training and Replication of Retrieval. - Ma, Xueguang; Sun, Kai; Pradeep, Ronak; Li, Minghan; Lin, Jimmy (2022)

To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. - Li, Hang; Wang, Shuai; Zhuang, Shengyao; Mourad, Ahmed; Ma, Xueguang; Lin, Jimmy; Zuccon, Guido (2022)

Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2. - Ma, Xueguang; Pradeep, Ronak; Nogueira, Rodrigo; Lin, Jimmy (2022)

Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval. - Gao, Luyu; Ma, Xueguang; Lin, Jimmy; Callan, Jamie (CoRR, 2022)

Towards Best Practices for Training Multilingual Dense Retrieval Models. - Zhang, Xinyu; Ogueji, Kelechi; Ma, Xueguang; Lin, Jimmy (CoRR, 2022)

To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. - Li, Hang; Wang, Shuai; Zhuang, Shengyao; Mourad, Ahmed; Ma, Xueguang; Lin, Jimmy; Zuccon, Guido (CoRR, 2022)

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. - Chen, Wenhu; Ma, Xueguang; Wang, Xinyi; Cohen, William W. (CoRR, 2022)

Precise Zero-Shot Dense Retrieval without Relevance Labels. - Gao, Luyu; Ma, Xueguang; Lin, Jimmy; Callan, Jamie (CoRR, 2022)

Scientific Claim Verification with VerT5erini. - Pradeep, Ronak; Ma, Xueguang; Nogueira, Rodrigo; Lin, Jimmy (2021)

On the Separation of Logical and Physical Ranking Models for Text Retrieval Applications. - Lin, Jimmy; Ma, Xueguang; Mackenzie, Joel; Mallia, Antonio (2021)

Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval. - Ma, Xueguang; Li, Minghan; Sun, Kai; Xin, Ji; Lin, Jimmy (2021)

e-Health for Older Adults: Navigating Misinformation. - Ghenai, Amira; Ma, Xueguang; Cohen, Robin; Moffatt, Karyn; Yang, Andy; Ji, Yipeng (2021)

Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search. - Pradeep, Ronak; Ma, Xueguang; Nogueira, Rodrigo; Lin, Jimmy (2021)

Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. - Lin, Jimmy; Ma, Xueguang; Lin, Sheng-Chieh; Yang, Jheng-Hong; Pradeep, Ronak; Nogueira, Rodrigo (2021)

Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations. - Lin, Jimmy; Ma, Xueguang; Lin, Sheng-Chieh; Yang, Jheng-Hong; Pradeep, Ronak; Nogueira, Rodrigo (CoRR, 2021)

A Replication Study of Dense Passage Retriever. - Ma, Xueguang; Sun, Kai; Pradeep, Ronak; Lin, Jimmy (CoRR, 2021)

A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques. - Lin, Jimmy; Ma, Xueguang (CoRR, 2021)

Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval. - Zhang, Xinyu; Ma, Xueguang; Shi, Peng; Lin, Jimmy (CoRR, 2021)

Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management. - Parmentier, Alexandre; Cohen, Robin; Ma, Xueguang; Sahu, Gaurav; Chen, Queenie (CoRR, 2021)

Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. - Li, Hang; Zhuang, Shengyao; Mourad, Ahmed; Ma, Xueguang; Lin, Jimmy; Zuccon, Guido (CoRR, 2021)

Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking. - Yang, Jheng-Hong; Ma, Xueguang; Lin, Jimmy (CoRR, 2021)

H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine. - Pradeep, Ronak; Ma, Xueguang; Zhang, Xinyu; Cui, Hang; Xu, Ruizhou; Nogueira, Rodrigo; Lin, Jimmy (2020)

Scientific Claim Verification with VERT5ERINI. - Pradeep, Ronak; Ma, Xueguang; Nogueira, Rodrigo; Lin, Jimmy (CoRR, 2020)

Web-Based Education Accountability System and Organizational Changes: An Actor-Network Approach. - Ma, Xueguang; Rada, Roy (Int. J. Web Based Learn. Teach. Technol., 2006)

Building a Web-Based Accountability System in a Teacher Education Program. - Ma, Xueguang; Rada, Roy (Interact. Learn. Environ., 2005)