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20242026
most citedMulti-Modal Explainable Medical AI Assistant for Trustworthy Human-AI Collaboration

2 citations · 3 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

SCIRIGOR:Evaluating Open-Ended Scientific Analysis Beyond Final Scores

Bowen Liu, Shuo Nie, Bodong Du +1

Scientific coding agents produce interdependent code, results, figures, and claims, yet evaluating final outputs alone does not establish whether their conclusions are scientifical…

cs.CV2026

Divide-then-Diagnose: Weaving Clinician-Inspired Contexts for Ultra-Long Capsule Endoscopy Videos

Bowen Liu, Li Yang, Shanshan Song +6

Capsule endoscopy (CE) enables non-invasive gastrointestinal screening, but current CE research remains largely limited to frame-level classification and detection, leaving video-l…

cs.CV2026

Adapting 2D Multi-Modal Large Language Model for 3D CT Image Analysis

Yang Yu, Dunyuan Xu, Yaoqian Li +3

3D medical image analysis is of great importance in disease diagnosis and treatment. Recently, multimodal large language models (MLLMs) have exhibited robust perceptual capacity, s…

cs.CL2026

Escaping the BLEU Trap: A Signal-Grounded Framework with Decoupled Semantic Guidance for EEG-to-Text Decoding

Yuchen Wang, Haonan Wang, Yu Guo +2

Decoding natural language from non-invasive EEG signals is a promising yet challenging task. However, current state-of-the-art models remain constrained by three fundamental issues…

cs.CV2026

Which Tool Response Should I Trust? Tool-Expertise-Aware Chest X-ray Agent with Multimodal Agentic Learning

Zheang Huai, Honglong Yang, Xiaomeng Li

AI agents with tool-use capabilities show promise for integrating the domain expertise of various tools. In the medical field, however, tools are usually AI models that are inheren…