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Home/Authors/Yikun Wang

Yikun Wang

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

AI×2NLP×1Prog. Lang.×1ML×1Multiagent×1

Frequent co-authors

Zhen Huang1×
Shijie Xia1×
Pengfei Liu1×
Huiri Tan1×
Puyang Zhang1×
Shangyu Li1×

Research Timeline

2026
ETAS: An Effect-Typed Language for Agent Systems

ETAS is a programming language for agent systems that separates deterministic computation from agentic nondeterminism and provides a foundation for reasoning about authorization, nondeterminism, recovery, and audit evidence.

DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data

The paper introduces DataOrchestra, a framework for example-specific processing of pretraining data for Large Language Models, achieving stable gains and reducing compute.

Highlighted terms show continued research focus across papers

Papers

cs.CLcs.AIEmpiricalRecentJul 27, 2026

DataOrchestra: Learning to Orchestrate Per-Example Curation of Pretraining Data

Zhen Huang, Yikun Wang, Shijie Xia, Pengfei Liu

The paper introduces DataOrchestra, a framework for example-specific processing of pretraining data for Large Language Models, achieving stable gains and reducing compute.

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cs.PLcs.AIcs.LGTheoretical
Recent
Jul 20, 2026

ETAS: An Effect-Typed Language for Agent Systems

Huiri Tan, Yikun Wang, Puyang Zhang, Shangyu Li +1 more

ETAS is a programming language for agent systems that separates deterministic computation from agentic nondeterminism and provides a foundation for reasoning about authorization, nondeterminism, recov…

View →