collaborators

5 papers

cs.AI2026

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…

cs.AI2026

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…

cs.HC2026

Do Models See in Line with Human Vision? Probing the Correspondence Between LVLM Representations and EEG Signals

Xin Xiao, Yang Lei, Haoyang Zeng +6

Large Vision Language Models (LVLMs) exhibit strong visual understanding and reasoning abilities. However, whether their internal representations reflect human visual cognition is…

cs.CL2026

ReasonTabQA: A Comprehensive Benchmark for Table Question Answering from Real World Industrial Scenarios

Changzai Pan, Jie Zhang, Kaiwen Wei +15

Recent advancements in Large Language Models (LLMs) have significantly catalyzed table-based question answering (TableQA). However, existing TableQA benchmarks often overlook the i…

cs.CL2025

CFVBench: A Comprehensive Video Benchmark for Fine-grained Multimodal Retrieval-Augmented Generation

Kaiwen Wei, Xiao Liu, Jie Zhang +11

Multimodal Retrieval-Augmented Generation (MRAG) enables Multimodal Large Language Models (MLLMs) to generate responses with external multimodal evidence, and numerous video-based…