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

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

H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine. - Ronak Pradeep; Xueguang Ma; Xinyu Zhang 018; Hang Cui; Ruizhou Xu; Rodrigo Nogueira 001; Jimmy Lin (TREC, 2020)

Scientific Claim Verification with VerT5erini. - Ronak Pradeep; Xueguang Ma; Rodrigo Nogueira 001; Jimmy Lin (LOUHI@EACL, 2021)

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

Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval. - Xueguang Ma; Minghan Li 002; Kai Sun; Ji Xin; Jimmy Lin (EMNLP (1), 2021)

e-Health for Older Adults: Navigating Misinformation. - Amira Ghenai; Xueguang Ma; Robin Cohen; Karyn Moffatt; Andy Yang; Yipeng Ji (ICT4AWE, 2021)

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 001 (SIGIR, 2021)

Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search. - Ronak Pradeep; Xueguang Ma; Rodrigo Nogueira 001; Jimmy Lin (SIGIR, 2021)

Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations. - Jimmy Lin; Xueguang Ma; Sheng-Chieh Lin; Jheng-Hong Yang; Ronak Pradeep; Rodrigo Nogueira 001 (CoRR, 2021)

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

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

Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval. - Xinyu Zhang 018; Xueguang Ma; Peng Shi 010; Jimmy Lin (CoRR, 2021)

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

Pseudo-Relevance Feedback with Dense Retrievers in Pyserini. - Hang Li 009; Shengyao Zhuang; Xueguang Ma; Jimmy Lin; Guido Zuccon (ADCS, 2022)

Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. - Hang Li 009; Shengyao Zhuang; Ahmed Mourad; Xueguang Ma; Jimmy Lin; Guido Zuccon (ECIR (1), 2022)

Another Look at DPR: Reproduction of Training and Replication of Retrieval. - Xueguang Ma; Kai Sun; Ronak Pradeep; Minghan Li 002; Jimmy Lin (ECIR (1), 2022)

To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. - Hang Li 009; Shuai Wang 032; Shengyao Zhuang; Ahmed Mourad; Xueguang Ma; Jimmy Lin; Guido Zuccon (SIGIR, 2022)

Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2. - Xueguang Ma; Ronak Pradeep; Rodrigo Nogueira 001; Jimmy Lin (SIGIR, 2022)

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

Towards Best Practices for Training Multilingual Dense Retrieval Models. - Xinyu Zhang 018; Kelechi Ogueji; Xueguang Ma; Jimmy Lin (CoRR, 2022)

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

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

Few-shot In-context Learning on Knowledge Base Question Answering. - Tianle Li; Xueguang Ma; Alex Zhuang; Yu Gu 016; Yu Su 001; Wenhu Chen (ACL (1), 2023)

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

TheoremQA: A Theorem-driven Question Answering Dataset. - Wenhu Chen; Ming Yin; Max Ku; Pan Lu; Yixin Wan; Xueguang Ma; Jianyu Xu; Xinyi Wang 003; Tony Xia (EMNLP, 2023)

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

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

SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes. - Minghan Li 002; Sheng-Chieh Lin; Xueguang Ma; Jimmy Lin (SIGIR, 2023)

Zero-Shot Listwise Document Reranking with a Large Language Model. - Xueguang Ma; Xinyu Zhang 018; Ronak Pradeep; Jimmy Lin (CoRR, 2023)

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

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

Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. - Wenhu Chen; Xueguang Ma; Xinyi Wang 003; William W. Cohen (Trans. Mach. Learn. Res., 2023)

Unifying Multimodal Retrieval via Document Screenshot Embedding. - Xueguang Ma; Sheng-Chieh Lin; Minghan Li 002; Wenhu Chen; Jimmy Lin (EMNLP, 2024)

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

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 (EMNLP, 2024)

Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models. - Raphael Tang; Xinyu Zhang 018; Xueguang Ma; Jimmy Lin; Ferhan Ture (NAACL-HLT, 2024)

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark. - Yubo Wang; Xueguang Ma; Ge Zhang 009; Yuansheng Ni; Abhranil Chandra; Shiguang Guo; Weiming Ren; Aaran Arulraj; Xuan He; Ziyan Jiang; Tianle Li; Max Ku; et al. (NeurIPS, 2024)

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

Fine-Tuning LLaMA for Multi-Stage Text Retrieval. - Xueguang Ma; Liang Wang 046; Nan Yang 002; Furu Wei; Jimmy Lin (SIGIR, 2024)

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

Toward Best Practices for Training Multilingual Dense Retrieval Models. - Xinyu Zhang 018; Kelechi Ogueji; Xueguang Ma; Jimmy Lin (ACM Trans. Inf. Syst., 2024)

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 002 (ACL (1), 2025)

VISA: Retrieval Augmented Generation with Visual Source Attribution. - Xueguang Ma; Shengyao Zhuang; Bevan Koopman; Guido Zuccon; Wenhu Chen; Jimmy Lin (ACL (1), 2025)

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 (SIGIR, 2025)

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)

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

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

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

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

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

General-Reasoner: Advancing LLM Reasoning Across All Domains. - Xueguang Ma; Qian Liu; Dongfu Jiang; Ge Zhang 009; Zejun Ma; Wenhu Chen (CoRR, 2025)

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

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