Xueguang Ma - RankMe

82 papers A* 16A 1C 1Misc 1Journal 47Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentIR: Reasoning-Aware Retrieval for Deep Research Agents. CoRR Zijian Chen, Xueguang Ma, Shengyao Zhuang, Jimmy Lin, Akari Asai, Victor Zhong
2026	—	`conf`	Do We Still Need Text Features for Video Retrieval in the Era of Vision-Language Models? ECIR (2) Jiaqi Samantha Zhan, Crystina Zhang, Shengyao Zhuang, Xueguang Ma, Jimmy Lin
2026	J	`jnl`	LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum. CoRR Zhichao Xu, Shengyao Zhuang, Crystina Zhang, Xueguang Ma, Yijun Tian, Maitrey Mehta, Jimmy Lin, Vivek Srikumar
2026	J	`jnl`	OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis. CoRR Zhuofeng Li, Dongfu Jiang, Xueguang Ma, Haoxiang Zhang, Ping Nie, Yuyu Zhang, Kai Zou, Jianwen Xie, Yu Zhang, Wenhu Chen
2025	J	`jnl`	BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent. CoRR Zijian Chen, Xueguang Ma, Shengyao Zhuang, Ping Nie, Kai Zou, Andrew Liu, Joshua Green, Kshama Patel, Ruoxi Meng, Mingyi Su, Sahel Sharifymoghaddam, Yanxi Li, Haoran Hong, Xinyu Shi, Xuye Liu, Nandan Thakur, Crystina Zhang, Luyu Gao, Wenhu Chen, Jimmy Lin
2025	—	`conf`	DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers. ACL (1) Xueguang Ma, Xi Victoria Lin, Barlas Oguz, Jimmy Lin, Wen-tau Yih, Xilun Chen
2025	J	`jnl`	DRAMA: Diverse Augmentation from Large Language Models to Smaller Dense Retrievers. CoRR Xueguang Ma, Xi Victoria Lin, Barlas Oguz, Jimmy Lin, Wen-tau Yih, Xilun Chen
2025	A*	`conf`	Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks. SIGIR Shengyao Zhuang, Ekaterina Khramtsova, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon
2025	J	`jnl`	Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks. CoRR Shengyao Zhuang, Ekaterina Khramtsova, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon
2025	J	`jnl`	Fixing Data That Hurts Performance: Cascading LLMs to Relabel Hard Negatives for Robust Information Retrieval. CoRR Nandan Thakur, Crystina Zhang, Xueguang Ma, Jimmy Lin
2025	J	`jnl`	General-Reasoner: Advancing LLM Reasoning Across All Domains. CoRR Xueguang Ma, Qian Liu, Dongfu Jiang, Ge Zhang, Zejun Ma, Wenhu Chen
2025	A*	`conf`	Gosling Grows Up: Retrieval with Learned Dense and Sparse Representations Using Anserini. SIGIR Jimmy Lin, Arthur Haonan Chen, Carlos Lassance, Xueguang Ma, Ronak Pradeep, Tommaso Teofili, Jasper Xian, Jheng-Hong Yang, Brayden Zhong, Vincent Zhong
2025	—	`conf`	Hard Negatives, Hard Lessons: Revisiting Training Data Quality for Robust Information Retrieval with LLMs. EMNLP (Findings) Nandan Thakur, Crystina Zhang, Xueguang Ma, Jimmy Lin
2025	J	`jnl`	MAGMaR Shared Task System Description: Video Retrieval with OmniEmbed. CoRR Jiaqi Samantha Zhan, Crystina Zhang, Shengyao Zhuang, Xueguang Ma, Jimmy Lin
2025	J	`jnl`	PixelWorld: Towards Perceiving Everything as Pixels. CoRR Zhiheng Lyu, Xueguang Ma, Wenhu Chen
2025	J	`jnl`	PixelWorld: Towards Perceiving Everything as Pixels. Trans. Mach. Learn. Res. Zhiheng Lyu, Xueguang Ma, Wenhu Chen
2025	A*	`conf`	R SIGIR Guido Zuccon, Shengyao Zhuang, Xueguang Ma
2025	J	`jnl`	Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning. CoRR Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon
2025	J	`jnl`	Rethinking On-policy Optimization for Query Augmentation. CoRR Zhichao Xu, Shengyao Zhuang, Xueguang Ma, Bingsen Chen, Yijun Tian, Fengran Mo, Jie Cao, Vivek Srikumar
2025	—	`conf`	SIGIR-AP 2025 Tutorial on Retrieval and Ranking with LLMs (R SIGIR-AP Guido Zuccon, Shengyao Zhuang, Xueguang Ma, Bevan Koopman
2025	J	`jnl`	ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations. CoRR Yubo Wang, Xueguang Ma, Ping Nie, Huaye Zeng, Zhiheng Lyu, Yuxuan Zhang, Benjamin Schneider, Yi Lu, Xiang Yue, Wenhu Chen
2025	A*	`conf`	Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality. SIGIR Xueguang Ma, Luyu Gao, Shengyao Zhuang, Jiaqi Samantha Zhan, Jamie Callan, Jimmy Lin
2025	J	`jnl`	Tevatron 2.0: Unified Document Retrieval Toolkit across Scale, Language, and Modality. CoRR Xueguang Ma, Luyu Gao, Shengyao Zhuang, Jiaqi Samantha Zhan, Jamie Callan, Jimmy Lin
2025	—	`conf`	VISA: Retrieval Augmented Generation with Visual Source Attribution. ACL (1) Xueguang Ma, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Wenhu Chen, Jimmy Lin
2024	—	`conf`	Augmenting Black-box LLMs with Medical Textbooks for Biomedical Question Answering. EMNLP (Findings) Yubo Wang, Xueguang Ma, Wenhu Chen
2024	A*	`conf`	Fine-Tuning LLaMA for Multi-Stage Text Retrieval. SIGIR Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin
2024	—	`conf`	Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models. NAACL-HLT Raphael Tang, Xinyu Zhang, Xueguang Ma, Jimmy Lin, Ferhan Ture
2024	J	`jnl`	LongRAG: Enhancing Retrieval-Augmented Generation with Long-context LLMs. CoRR Ziyan Jiang, Xueguang Ma, Wenhu Chen
2024	A*	`conf`	MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark. NeurIPS Yubo Wang, Xueguang Ma, Ge Zhang, Yuansheng Ni, Abhranil Chandra, Shiguang Guo, Weiming Ren, Aaran Arulraj, Xuan He, Ziyan Jiang, Tianle Li, Max Ku, Kai Wang, Alex Zhuang, Rongqi Fan, Xiang Yue, Wenhu Chen
2024	J	`jnl`	MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark. CoRR Yubo Wang, Xueguang Ma, Ge Zhang, Yuansheng Ni, Abhranil Chandra, Shiguang Guo, Weiming Ren, Aaran Arulraj, Xuan He, Ziyan Jiang, Tianle Li, Max Ku, Kai Wang, Alex Zhuang, Rongqi Fan, Xiang Yue, Wenhu Chen
2024	A*	`conf`	PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval. EMNLP Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon
2024	J	`jnl`	PromptReps: Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval. CoRR Shengyao Zhuang, Xueguang Ma, Bevan Koopman, Jimmy Lin, Guido Zuccon
2024	A*	`conf`	Resources for Brewing BEIR: Reproducible Reference Models and Statistical Analyses. SIGIR Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin
2024	J	`jnl`	Toward Best Practices for Training Multilingual Dense Retrieval Models. ACM Trans. Inf. Syst. Xinyu Zhang, Kelechi Ogueji, Xueguang Ma, Jimmy Lin
2024	A*	`conf`	Unifying Multimodal Retrieval via Document Screenshot Embedding. EMNLP Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin
2024	J	`jnl`	Unifying Multimodal Retrieval via Document Screenshot Embedding. CoRR Xueguang Ma, Sheng-Chieh Lin, Minghan Li, Wenhu Chen, Jimmy Lin
2024	J	`jnl`	VISA: Retrieval Augmented Generation with Visual Source Attribution. CoRR Xueguang Ma, Shengyao Zhuang, Bevan Koopman, Guido Zuccon, Wenhu Chen, Jimmy Lin
2023	A	`conf`	Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes. CIKM Xueguang Ma, Tommaso Teofili, Jimmy Lin
2023	J	`jnl`	Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes. CoRR Xueguang Ma, Tommaso Teofili, Jimmy Lin
2023	J	`jnl`	Augmenting Black-box LLMs with Medical Textbooks for Clinical Question Answering. CoRR Yubo Wang, Xueguang Ma, Wenhu Chen
2023	—	`conf`	Enhancing Sparse Retrieval via Unsupervised Learning. SIGIR-AP Xueguang Ma, Hengxin Fun, Xusen Yin, Antonio Mallia, Jimmy Lin
2023	J	`jnl`	Few-shot In-context Learning for Knowledge Base Question Answering. CoRR Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen
2023	—	`conf`	Few-shot In-context Learning on Knowledge Base Question Answering. ACL (1) Tianle Li, Xueguang Ma, Alex Zhuang, Yu Gu, Yu Su, Wenhu Chen
2023	J	`jnl`	Fine-Tuning LLaMA for Multi-Stage Text Retrieval. CoRR Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin
2023	J	`jnl`	Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models. CoRR Raphael Tang, Xinyu Zhang, Xueguang Ma, Jimmy Lin, Ferhan Ture
2023	—	`conf`	Precise Zero-Shot Dense Retrieval without Relevance Labels. ACL (1) Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan
2023	J	`jnl`	Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. Trans. Mach. Learn. Res. Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen
2023	J	`jnl`	Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard. CoRR Ehsan Kamalloo, Nandan Thakur, Carlos Lassance, Xueguang Ma, Jheng-Hong Yang, Jimmy Lin
2023	A*	`conf`	SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes. SIGIR Minghan Li, Sheng-Chieh Lin, Xueguang Ma, Jimmy Lin
2023	J	`jnl`	SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes. CoRR Minghan Li, Sheng-Chieh Lin, Xueguang Ma, Jimmy Lin
2023	A*	`conf`	Tevatron: An Efficient and Flexible Toolkit for Neural Retrieval. SIGIR Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan
2023	A*	`conf`	TheoremQA: A Theorem-driven Question Answering Dataset. EMNLP Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia
2023	J	`jnl`	TheoremQA: A Theorem-driven Question Answering dataset. CoRR Wenhu Chen, Ming Yin, Max Ku, Pan Lu, Yixin Wan, Xueguang Ma, Jianyu Xu, Xinyi Wang, Tony Xia
2023	J	`jnl`	Zero-Shot Listwise Document Reranking with a Large Language Model. CoRR Xueguang Ma, Xinyu Zhang, Ronak Pradeep, Jimmy Lin
2022	—	`conf`	Another Look at DPR: Reproduction of Training and Replication of Retrieval. ECIR (1) Xueguang Ma, Kai Sun, Ronak Pradeep, Minghan Li, Jimmy Lin
2022	A*	`conf`	Document Expansion Baselines and Learned Sparse Lexical Representations for MS MARCO V1 and V2. SIGIR Xueguang Ma, Ronak Pradeep, Rodrigo Nogueira, Jimmy Lin
2022	—	`conf`	Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. ECIR (1) Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
2022	J	`jnl`	Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management. Int. J. Data Sci. Anal. Alexandre Parmentier, Robin Cohen, Xueguang Ma, Gaurav Sahu, Queenie Chen
2022	J	`jnl`	Precise Zero-Shot Dense Retrieval without Relevance Labels. CoRR Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan
2022	J	`jnl`	Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks. CoRR Wenhu Chen, Xueguang Ma, Xinyi Wang, William W. Cohen
2022	Misc	`conf`	Pseudo-Relevance Feedback with Dense Retrievers in Pyserini. ADCS Hang Li, Shengyao Zhuang, Xueguang Ma, Jimmy Lin, Guido Zuccon
2022	J	`jnl`	Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval. CoRR Luyu Gao, Xueguang Ma, Jimmy Lin, Jamie Callan
2022	A*	`conf`	To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. SIGIR Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
2022	J	`jnl`	To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers. CoRR Hang Li, Shuai Wang, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
2022	J	`jnl`	Towards Best Practices for Training Multilingual Dense Retrieval Models. CoRR Xinyu Zhang, Kelechi Ogueji, Xueguang Ma, Jimmy Lin
2021	J	`jnl`	A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques. CoRR Jimmy Lin, Xueguang Ma
2021	J	`jnl`	A Replication Study of Dense Passage Retriever. CoRR Xueguang Ma, Kai Sun, Ronak Pradeep, Jimmy Lin
2021	J	`jnl`	Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study. CoRR Hang Li, Shengyao Zhuang, Ahmed Mourad, Xueguang Ma, Jimmy Lin, Guido Zuccon
2021	J	`jnl`	Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval. CoRR Xinyu Zhang, Xueguang Ma, Peng Shi, Jimmy Lin
2021	—	`conf`	On the Separation of Logical and Physical Ranking Models for Text Retrieval Applications. DESIRES Jimmy Lin, Xueguang Ma, Joel Mackenzie, Antonio Mallia
2021	J	`jnl`	Personalized multi-faceted trust modeling to determine trust links in social media and its potential for misinformation management. CoRR Alexandre Parmentier, Robin Cohen, Xueguang Ma, Gaurav Sahu, Queenie Chen
2021	A*	`conf`	Pyserini: A Python Toolkit for Reproducible Information Retrieval Research with Sparse and Dense Representations. SIGIR Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira
2021	J	`jnl`	Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations. CoRR Jimmy Lin, Xueguang Ma, Sheng-Chieh Lin, Jheng-Hong Yang, Ronak Pradeep, Rodrigo Nogueira
2021	—	`conf`	Scientific Claim Verification with VerT5erini. LOUHI@EACL Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin
2021	—	`conf`	Simple and Effective Unsupervised Redundancy Elimination to Compress Dense Vectors for Passage Retrieval. EMNLP (1) Xueguang Ma, Minghan Li, Kai Sun, Ji Xin, Jimmy Lin
2021	J	`jnl`	Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking. CoRR Jheng-Hong Yang, Xueguang Ma, Jimmy Lin
2021	A*	`conf`	Vera: Prediction Techniques for Reducing Harmful Misinformation in Consumer Health Search. SIGIR Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin
2021	C	`conf`	e-Health for Older Adults: Navigating Misinformation. ICT4AWE Amira Ghenai, Xueguang Ma, Robin Cohen, Karyn Moffatt, Andy Yang, Yipeng Ji
2020	—	`conf`	H2oloo at TREC 2020: When all you got is a hammer... Deep Learning, Health Misinformation, and Precision Medicine. TREC Ronak Pradeep, Xueguang Ma, Xinyu Zhang, Hang Cui, Ruizhou Xu, Rodrigo Nogueira, Jimmy Lin
2020	J	`jnl`	Scientific Claim Verification with VERT5ERINI. CoRR Ronak Pradeep, Xueguang Ma, Rodrigo Nogueira, Jimmy Lin
2006	J	`jnl`	Web-Based Education Accountability System and Organizational Changes: An Actor-Network Approach. Int. J. Web Based Learn. Teach. Technol. Xueguang Ma, Roy Rada
2005	J	`jnl`	Building a Web-Based Accountability System in a Teacher Education Program. Interact. Learn. Environ. Xueguang Ma, Roy Rada