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Kun Wang

13 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 author9
  • last author1

Across the 11 of 13 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CL4
  • cs.LG3
  • cs.IR1
  • cs.SD1
same name
  • Kun Wang — 17 papers, h 7
  • Kun Wang — 16 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

most citedSkillNet: Create, Evaluate, and Connect AI Skills

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

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion

ShiYing Huang, Liang Lin, Yuer Li +6

In the realm of multi-objective alignment for large language models, balancing disparate human preferences often manifests as a zero-sum conflict. Specifically, the intrinsic tensi…

cs.AI2026

MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents

Zhengwei Xie, Zhisheng Chen, Ziyan Weng +7

Long-horizon embodied intelligence requires agents to improve through interaction, not merely to execute plans generated from static goals. A central challenge is therefore to tran…

cs.AI2026

SkillNet: Create, Evaluate, and Connect AI Skills

Yuan Liang, Ruobin Zhong, Haoming Xu +47

Current AI agents can flexibly invoke tools and execute complex tasks, yet their long-term advancement is hindered by the lack of systematic accumulation and transfer of skills. Wi…

cs.AI2026

AgentAuditor: Human-Level Safety and Security Evaluation for LLM Agents

Hanjun Luo, Shenyu Dai, Chiming Ni +5

Despite the rapid advancement of LLM-based agents, the reliable evaluation of their safety and security remains a significant challenge. Existing rule-based or LLM-based evaluators…

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