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Zekun Wang

11 papers hereh-index 226 citations11 works total

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

author position
  • first author2
  • middle author7

Across the 9 of 11 papers where every author was matched, so the position is known.

fields
  • cs.CL5
  • cs.LG4
  • cs.AI1
  • cs.DC1
same name
  • Zekun Wang — 19 papers, h 12
  • Zekun Wang — 9 papers, h 3
  • Zekun Wang — 3 papers, h 2
  • Zekun Wang — 3 papers, h 1
  • Zekun Wang — 3 papers, h 5
  • Zekun Wang — 2 papers, h 2

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

works on
benchmark evaluation 1computer-use agents 1error analysis 1reliability 1task scoring 1

From the 1 of 11 linked papers with an AI index.

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Qwen-CUA: Native Computer Use for (almost) Everything

Dunjie Lu, Shuai Bai, Tianyi Bai +42

Native computer use offers a general interface for agents to operate almost any software available to people, but requires long-horizon state tracking, large-scale interactive expe…

cs.LG2026

Decompose Sparsely Where You Should, Absorb Densely Where You Should No

Ruixuan Deng, Zehao Jin, Zekun Wang +1

Sparse autoencoders (SAEs) are typically trained to reconstruct the \textbf{entire} residual stream through a sparse dictionary, implicitly assuming that all activation content is…

cs.LG2026

SlimQwen: Exploring the Pruning and Distillation in Large MoE Model Pre-training

Shengkun Tang, Zekun Wang, Bo Zheng +7

Structured pruning and knowledge distillation (KD) are typical techniques for compressing large language models, but it remains unclear how they should be applied at pretraining sc…

cs.LG2026

Test-Time Compositional Generalization in Diffusion Models via Concept Discovery

Zekun Wang, Anant Gupta, Tianyi Zhu +1

Compositional generalization requires models to produce novel configurations from familiar parts. In diffusion models, prior compositional generation methods typically assume that…

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