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Huaxiu Yao

8 papers hereh-index 6251 citations14 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author3

Across the 8 of 8 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cs.CV2
  • q-bio.GN1
same name
  • Huaxiu Yao — 41 papers, h 37
  • Huaxiu Yao — 23 papers, h 8
  • Huaxiu Yao — 10 papers, h 7
  • Huaxiu Yao — 10 papers, h 7
  • Huaxiu Yao — 9 papers, h 8
  • Huaxiu Yao — 9 papers, h 8

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
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

collaborators
Showing 2025Show all

4 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…

q-bio.GN2025★ 1 cited

CellTypeAgent: Trustworthy cell type annotation with Large Language Models

Jiawen Chen, Jianghao Zhang, Huaxiu Yao +1

Cell type annotation is a critical yet laborious step in single-cell RNA sequencing analysis. We present a trustworthy large language model (LLM)-agent, CellTypeAgent, which integr…

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.