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Kun Wang

14 papers hereh-index 5114 citations17 works total

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

author position
  • first author1
  • middle author10
  • last author1

Across the 12 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.AI4
  • cs.LG3
  • cs.IR1
  • cs.SD1
same name
  • Kun Wang — 17 papers, h 7
  • Kun Wang — 17 papers, h 11
  • Kun Wang — 15 papers, h 3
  • Kun Wang — 9 papers, h 6
  • Kun Wang — 9 papers, h 4
  • Kun Wang — 9 papers, h 7

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 citedSkillNet: Create, Evaluate, and Connect AI Skills

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2026

Mem-W: Latent Memory-Native GUI Agents

Guibin Zhang, Yaohui Ling, Fanci Meng +2

GUI agents are beginning to operate the web, mobile, and desktop as interactive worlds, where successful control depends on carrying forward visual, procedural, and task-level evid…

cs.CL2025

UniErase: Towards Balanced and Precise Unlearning in Language Models

Miao Yu, Liang Lin, Guibin Zhang +7

Large language models (LLMs) require iterative updates to address the outdated information problem, where LLM unlearning offers an approach for selective removal. However, mainstre…

cs.CL2025

LIFEBench: Evaluating Length Instruction Following in Large Language Models

Wei Zhang, Zhenhong Zhou, Kun Wang +9

While large language models (LLMs) can solve PhD-level reasoning problems over long context inputs, they still struggle with a seemingly simpler task: following explicit length ins…

cs.CL2025

Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems

Zherui Li, Yan Mi, Zhenhong Zhou +4

Large Language Model-based Multi-Agent Systems (MASs) have demonstrated strong advantages in addressing complex real-world tasks. However, due to the introduction of additional att…

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