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Shengyu Zhang

13 papers hereh-index 385 citations14 works total

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

author position
  • first author1
  • middle author5
  • last author7

Across the 13 of 13 papers where every author was matched, so the position is known.

fields
  • cs.AI7
  • cs.CL4
  • cs.IR1
  • cs.MA1
same name
  • Shengyu Zhang — 48 papers, h 22
  • Shengyu Zhang — 42 papers, h 33
  • Shengyu Zhang — 33 papers, h 20
  • Shengyu Zhang — 16 papers, h 6
  • Shengyu Zhang — 11 papers, h 6
  • Shengyu Zhang — 11 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

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

SafePred: A Predictive Guardrail for Computer-Using Agents via World Models

Yurun Chen, Zeyi Liao, Ping Yin +3

With the widespread deployment of Computer-using Agents (CUAs) in complex real-world environments, prevalent long-term risks often lead to severe and irreversible consequences. Mos…

cs.CL2025

Graph2Eval: Automatic Multimodal Task Generation for Agents via Knowledge Graphs

Yurun Chen, Xavier Hu, Yuhan Liu +8

As multimodal LLM-driven agents advance in autonomy and generalization, traditional static datasets face inherent scalability limitations and are insufficient for fully assessing t…

cs.CL2025

HarmonyGuard: Toward Safety and Utility in Web Agents via Adaptive Policy Enhancement and Dual-Objective Optimization

Yurun Chen, Xavier Hu, Yuhan Liu +4

Large language models enable agents to autonomously perform tasks in open web environments. However, as hidden threats within the web evolve, web agents face the challenge of balan…

cs.CL2025

Mixture of Reasonings: Teach Large Language Models to Reason with Adaptive Strategies

Tao Xiong, Xavier Hu, Wenyan Fan +1

Large language models (LLMs) excel in complex tasks through advanced prompting techniques like Chain-of-Thought (CoT) and Tree-of-Thought (ToT), but their reliance on manually craf…

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