1 citations · 1 across the 8 of their papers we have counts for
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ObGynLongBench: Revealing the Evidence-to-EHR Gap in Longitudinal EHR Decision-Making
Jun Xiang, Zhijie Bao, Rong Hu +3
The application of large language models (LLMs) to personalized medical assistants has garnered growing interest. However, existing medical benchmarks largely rely on static questi…
MedRCube: A Multidimensional Framework for Fine-Grained and In-Depth Evaluation of MLLMs in Medical Imaging
Zhijie Bao, Fangke Chen, Licheng Bao +4
The potential of Multimodal Large Language Models (MLLMs) in domain of medical imaging raise the demands of systematic and rigorous evaluation frameworks that are aligned with the…
Doc-V*:Coarse-to-Fine Interactive Visual Reasoning for Multi-Page Document VQA
Yuanlei Zheng, Pei Fu, Hang Li +9
Multi-page Document Visual Question Answering requires reasoning over semantics, layouts, and visual elements in long, visually dense documents. Existing OCR-free methods face a tr…
SpeechMedAssist: Efficiently and Effectively Adapting Speech Language Models for Medical Consultation
Sirry Chen, Jieyi Wang, Wei Chen +1
Medical consultations are intrinsically speech-centric. However, most prior works focus on long-text-based interactions, which are cumbersome and patient-unfriendly. Recent advance…
AutoLink: Autonomous Schema Exploration and Expansion for Scalable Schema Linking in Text-to-SQL at Scale
Ziyang Wang, Yuanlei Zheng, Zhenbiao Cao +6
For industrial-scale text-to-SQL, supplying the entire database schema to Large Language Models (LLMs) is impractical due to context window limits and irrelevant noise. Schema link…