6 papers
ConsultMind:Towards Automated Diagnostic Consultation via Uncertainty-Aware Reasoning
Xiao Sun, Yuming Yang, Yun Chen +9
Diagnostic consultation is an online sequential decision-making process in which clinicians gather evidence through patient interaction until a diagnosis is sufficiently supported.…
MentalHospital: A Virtual Environment for Evaluating Psychiatric Clinical Encounters
Yuming Yang, Xiao Sun, Yuanwei Zou +6
Large language models (LLMs) have shown strong performance on isolated psychiatric tasks, including dialogue, diagnosis, and treatment planning, yet existing benchmarks rarely simu…
Lung-R1: A Knowledge Graph-Guided LLM for Pulmonary Diagnostic Reasoning
Haoyang Zeng, Yuanxi Fu, Rongzhen Li +11
Diagnosing pulmonary diseases requires integrating heterogeneous evidence amid phenotypic variability and cross-disease overlap. Although large language models (LLMs) have shown pr…
CoMMET: A Psychologically Grounded Benchmark for Evaluating Theory of Mind in Multimodal LLMs
Ruirui Chen, Weifeng Jiang, Chengwei Qin +3
Theory of Mind (ToM)-the ability to reason about the mental states of oneself and others-is a cornerstone of human social intelligence. As Multimodal Large Language Models (MLLMs)…
Are Large Language Models Effective Knowledge Graph Constructors?
Ruirui Chen, Weifeng Jiang, Chengwei Qin +10
Knowledge graphs (KGs) are widely used in knowledge-intensive applications, yet it remains unclear how effectively current large language models (LLMs) can construct document-groun…
FLEKE: Federated Locate-then-Edit Knowledge Editing
Zongkai Zhao, Guozeng Xu, Xiuhua Li +2
Locate-then-Edit Knowledge Editing (LEKE) is a key technique for updating large language models (LLMs) without full retraining. However, existing methods assume a single-user setti…