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researcher

Denghui Zhang

10 papers hereh-index 5201 citations13 works total

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

author position
  • middle author9
  • last author1

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.AI3
  • cs.LG2
  • cs.HC1
same name
  • Denghui Zhang — 9 papers, h 5
  • Denghui Zhang — 8 papers, h 8
  • Denghui Zhang — 5 papers, h 9
  • Denghui Zhang — 5 papers, h 3
  • Denghui Zhang — 4 papers, h 4
  • Denghui Zhang — 4 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

activity
20242026
most citedRM-R1: Reward Modeling as Reasoning

2 citations · 2 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.LG2026

Decoupled Physical Modeling and Execution for Physics Reasoning

Ye Zhang, Xuehang Guo, Rui Pan +4

Physics reasoning requires constructing a consistent model of the underlying physical system rather than relying solely on symbolic or formula-based manipulation. Although large la…

cs.AI2026

Brick-Composer: Using MLLMs for Assembly with Diverse Bricks

Jiateng Liu, Bingxuan Li, Zhenhailong Wang +8

We dream of AI agents that can read arbitrary designs and construct real-world objects from reusable building blocks. As a first step toward this vision, we study whether multimoda…

cs.HC2026

Augmenting Interface Usability Heuristics for Reliable Computer-Use Agents

Jiateng Liu, Rushi Wang, Bingxuan Li +6

Recent advances have enabled general computer-use agents that interpret screens and execute grounded actions from human instructions, yet they still struggle to generalize to unsee…

cs.AI2026

OSExpert: Computer-Use Agents Learning Professional Skills via Exploration

Jiateng Liu, Zhenhailong Wang, Rushi Wang +6

General-purpose computer-use agents have shown impressive performance across diverse digital environments. However, our new benchmark, OSExpert-Eval, indicates they remain far less…

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