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20242026
most citedMDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding

4 citations · 10 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.LG2025

MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning

Peng Xia, Jinglu Wang, Yibo Peng +10

Medical Large Vision-Language Models (Med-LVLMs) have shown strong potential in multimodal diagnostic tasks. However, existing single-agent models struggle to generalize across div…

cs.LG2025★ 4 cited

MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding

Siwei Han, Peng Xia, Ruiyi Zhang +4

Document Question Answering (DocQA) is a very common task. Existing methods using Large Language Models (LLMs) or Large Vision Language Models (LVLMs) and Retrieval Augmented Gener…

cs.LG2025

Foundation Model in Biomedicine

Xiangrui Liu, Yuanyuan Zhang, Qianyu Shang +14

Foundation models, first introduced in 2021, refer to large-scale pretrained models (e.g., large language models (LLMs) and vision-language models (VLMs)) that learn from extensive…

cs.LG2024★ 1 cited

RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models

Peng Xia, Kangyu Zhu, Haoran Li +5

The recent emergence of Medical Large Vision Language Models (Med-LVLMs) has enhanced medical diagnosis. However, current Med-LVLMs frequently encounter factual issues, often gener…

cs.LG2024★ 3 cited

Multimodal Clinical Trial Outcome Prediction with Large Language Models

Wenhao Zheng, Liaoyaqi Wang, Dongshen Peng +5

The clinical trial is a pivotal and costly process, often spanning multiple years and requiring substantial financial resources. Therefore, the development of clinical trial outcom…