most citedTeamPath: Building MultiModal Pathology Experts with Reasoning AI Copilots

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cs.CL2026

Evaluating Multi-Turn Multimodal Diagnostic Reasoning on Challenging Real-World Clinical Cases

Rui Yang, Weihao Xuan, Yi Lin +23

Clinical diagnostic evaluation should not only assess whether models can provide correct diagnoses, but also reflect the realities of clinical practice, including progressive discl…

cs.CL2026

Beyond Monolingual Deep Research: Evaluating Agents and Retrievers with Cross-Lingual BrowseComp-Plus

Yuheng Lu, Qingcheng Zeng, Heli Qi +6

Deep research agents are increasingly evaluated on their ability to search for evidence, reason over retrieved sources, and produce grounded answers. Existing browsing benchmarks,…

cs.CL20261 cited

The Pragmatic Mind of Machines: Tracing the Emergence of Pragmatic Competence in Large Language Models

Kefan Yu, Qingcheng Zeng, Weihao Xuan +3

Current large language models (LLMs) have demonstrated emerging capabilities in social intelligence tasks, including implicature resolution and theory-of-mind reasoning, both of wh…

cs.CL20261 cited

Toward Global Large Language Models in Medicine

Rui Yang, Huitao Li, Weihao Xuan +47

Despite continuous advances in medical technology, the global distribution of health care resources remains uneven. The development of large language models (LLMs) has transformed…

cs.CL2025

Retrieval-Augmented Generation in Medicine: A Scoping Review of Technical Implementations, Clinical Applications, and Ethical Considerations

Rui Yang, Matthew Yu Heng Wong, Huitao Li +13

The rapid growth of medical knowledge and increasing complexity of clinical practice pose challenges. In this context, large language models (LLMs) have demonstrated value; however…

cs.CL2025

Thinking Out Loud: Do Reasoning Models Know When They're Right?

Qingcheng Zeng, Weihao Xuan, Leyang Cui +1

Large reasoning models (LRMs) have recently demonstrated impressive capabilities in complex reasoning tasks by leveraging increased test-time computation and exhibiting behaviors r…