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Miao Yu

18 papers hereh-index 8343 citations20 works total

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

author position
  • first author7
  • middle author10

Across the 17 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CR4
  • cs.LG4
  • cs.MA4
  • cs.AI2
  • cs.CL2
  • cs.SD2
same name
  • Miao Yu — 9 papers, h 23
  • Miao Yu — 6 papers, h 20
  • Miao Yu — 5 papers, h 2
  • Miao Yu — 3 papers
  • Miao Yu — 3 papers, h 3
  • Miao Yu — 3 papers, h 3

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 citedMind Scramble: Unveiling Large Language Model Psychology Via Typoglycemia

3 citations · 7 across the 13 of their papers we have counts for

collaborators
Showing cs.MAShow all

4 papers · 1 filter

cs.MA2025

G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems

Guibin Zhang, Muxin Fu, Guancheng Wan +3

Large language model (LLM)-powered multi-agent systems (MAS) have demonstrated cognitive and execution capabilities that far exceed those of single LLM agents, yet their capacity f…

cs.MA2025

A Survey on Trustworthy LLM Agents: Threats and Countermeasures

Miao Yu, Fanci Meng, Xinyun Zhou +9

With the rapid evolution of Large Language Models (LLMs), LLM-based agents and Multi-agent Systems (MAS) have significantly expanded the capabilities of LLM ecosystems. This evolut…

cs.MA2024★ 1 cited

NetSafe: Exploring the Topological Safety of Multi-agent Networks

Miao Yu, Shilong Wang, Guibin Zhang +6

Large language models (LLMs) have empowered nodes within multi-agent networks with intelligence, showing growing applications in both academia and industry. However, how to prevent…

cs.MA2024★ 1 cited

G-Designer: Architecting Multi-agent Communication Topologies via Graph Neural Networks

Guibin Zhang, Yanwei Yue, Xiangguo Sun +6

Recent advancements in large language model (LLM)-based agents have demonstrated that collective intelligence can significantly surpass the capabilities of individual agents, prima…

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