1 citations · 1 across the 7 of their papers we have counts for
8 papers
Evidence, Logic, and Compliance: Multi-Agent Structured Graph Reasoning with Expert Arbitration for Medical Referral
Qi Peng, Yi Cai, Jialin Cui +7
Medical referral (directing patients to the appropriate hospital department) is a complex decision-making process requiring the synthesis of multimodal data, including patient narr…
CDPR: Counterfactual Advantage-based Credit Assignment for Cost-Aware Sequential Medical Diagnosis
Qi Peng, Yi Cai, Changmeng Zheng +3
Clinical diagnosis is a step-by-step, cost-aware process: a physician orders examinations one at a time, observes the results, and updates the diagnosis before reaching a final con…
Aligning Clinical Needs and AI Capabilities: A Survey on LLMs for Medical Reasoning
Qi Peng, Jiatong Li, Sirui Huang +10
Large language models (LLMs) have emerged as important tools in healthcare, showing growing potential for clinical reasoning and patient care. This survey examines recent progress…
Mixture of Debaters: Learn to Debate at Architectural Level in Multi-Agent Reasoning
Dayong Liang, Kaisong Gong, Yi Cai +2
Existing multi-agent debate frameworks suffer from two critical limitations: they rely on static architectures where agent roles and coordination patterns are fixed at design time,…
CADReview: Automatically Reviewing CAD Programs with Error Detection and Correction
Jiali Chen, Xusen Hei, HongFei Liu +5
Computer-aided design (CAD) is crucial in prototyping 3D objects through geometric instructions (i.e., CAD programs). In practical design workflows, designers often engage in time-…
Seeing Beyond the Scene: Enhancing Vision-Language Models with Interactional Reasoning
Dayong Liang, Changmeng Zheng, Zhiyuan Wen +3
Traditional scene graphs primarily focus on spatial relationships, limiting vision-language models' (VLMs) ability to reason about complex interactions in visual scenes. This paper…
Collaborative Multi-LoRA Experts with Achievement-based Multi-Tasks Loss for Unified Multimodal Information Extraction
Li Yuan, Yi Cai, Xudong Shen +4
Multimodal Information Extraction (MIE) has gained attention for extracting structured information from multimedia sources. Traditional methods tackle MIE tasks separately, missing…
ConsisLoRA: Enhancing Content and Style Consistency for LoRA-based Style Transfer
Bolin Chen, Baoquan Zhao, Haoran Xie +3
Style transfer involves transferring the style from a reference image to the content of a target image. Recent advancements in LoRA-based (Low-Rank Adaptation) methods have shown p…