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Wenxuan Zhang

10 papers hereh-index 19 citations10 works total

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

author position
  • middle author2
  • last author7

Across the 9 of 10 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CL3
  • cs.SI2
  • cs.LG1
same name
  • Wenxuan Zhang — 22 papers, h 20
  • Wenxuan Zhang — 15 papers, h 10
  • Wenxuan Zhang — 10 papers, h 10
  • Wenxuan Zhang — 10 papers, h 5
  • Wenxuan Zhang — 8 papers, h 2
  • Wenxuan Zhang — 7 papers, h 1

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

most citedMoltNet: Understanding Social Behavior of AI Agents in the Agent-Native MoltBook

1 citations · 1 across the 8 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Beyond Perfect Teammates: Multi-Agent Collaboration with Unreliable Colleagues

Chen Huang, Yiyang Zhang, Yuhao Wu +2

LLM-based multi-agent collaboration is increasingly used to solve complex tasks by dividing work among specialized agents and integrating complementary expertise. Yet existing syst…

cs.AI2026

Safety Paradox: How Enhanced Safety Awareness Leaves LLMs Vulnerable to Posterior Attack

Long P. Hoang, Hai V. Le, Shaoyang Xu +2

Large language models (LLMs) are rigorously aligned to refuse harmful requests, a process that inherently cultivates a latent capacity to evaluate and recognize unsafe content. In…

cs.AI2026

Multilingual Fine-Tuning via Localized Gradient Conflict Resolution

Long P. Hoang, Yiran Zhao, Wei Lu +1

Cross-lingual versatility has become a defining capability of Large Language Models (LLMs). However, fine-tuning these models often induces negative interference, where gains in on…

cs.AI2026

What Should Agents Say? Action-state Communication for Efficient Multi-Agent Systems

Chen Huang, Yuhao Wu, Wenxuan Zhang

Multi-agent systems (MAS) built on large language models are typically organized around roles, pipelines, and turn schedules, while the content that agents pass to one another is o…

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