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Yuxuan Cai

7 papers hereh-index 379 citations8 works total

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

author position
  • first author2
  • middle author5

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.AI4
  • cs.CL2
  • cs.LG1
same name
  • Yuxuan Cai — 10 papers, h 7
  • Yuxuan Cai — 5 papers, h 4
  • Yuxuan Cai — 5 papers, h 4
  • Yuxuan Cai — 4 papers, h 6
  • Yuxuan Cai — 4 papers, h 2
  • Yuxuan Cai — 2 papers, h 8

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 citedBuilding Self-Evolving Agents via Experience-Driven Lifelong Learning: A Framework and Benchmark

1 citations · 1 across the 7 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2026

ContextWeave: A Real-World Workflow Benchmark

Bo Wang, Yuqian Yao, Enxi Wang +25

Memory is essential as language agents move from isolated tasks to long-horizon, stateful workflows, yet existing evaluations often reduce it to retrieval or question answering. We…

cs.AI2026

WebForge: Breaking the Realism-Reproducibility-Scalability Trilemma in Browser Agent Benchmark

Peng Yuan, Yuyang Yin, Yuxuan Cai +1

Existing browser agent benchmarks face a fundamental trilemma: real-website benchmarks lack reproducibility due to content drift, controlled environments sacrifice realism by omitt…

cs.AI2026

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution

Yutao Yang, Junsong Li, Qianjun Pan +9

In practical LLM applications, users repeatedly express stable preferences and requirements, such as reducing hallucinations, following institutional writing conventions, or avoidi…

cs.AI2025★ 1 cited

Building Self-Evolving Agents via Experience-Driven Lifelong Learning: A Framework and Benchmark

Yuxuan Cai, Yipeng Hao, Jie Zhou +14

As AI advances toward general intelligence, the focus is shifting from systems optimized for static tasks to creating open-ended agents that learn continuously. In this paper, we i…

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