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Heng Wang

4 papers hereh-index 3310 citations6 works total

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

author position
  • middle author2

Across the 2 of 4 papers where every author was matched, so the position is known.

fields
  • astro-ph.IM1
  • cs.AI1
  • cs.CL1
  • cs.CV1
same name
  • Heng Wang — 13 papers, h 8
  • Heng Wang — 12 papers, h 24
  • Heng Wang — 12 papers, h 7
  • Heng Wang — 10 papers, h 11
  • Heng Wang — 5 papers
  • Heng Wang — 5 papers, h 39

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 citedAstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in Astronomy

1 citations · 1 across the 2 of their papers we have counts for

collaborators

4 papers

cs.CL2026

AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints

Jiayu Liu, Cheng Qian, Zhenhailong Wang +10

Planning for real-world problems by language models often involves both world and user constraints, which may not be fully specified upfront and are progressively disclosed through…

cs.CV2026

Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation?

Rui Zhao, Kaiming Yang, Jifeng Zhu +6

Video generation models have made impressive strides in synthesizing visually compelling content, yet their outputs remain confined to the virtual domain. A natural question follow…

astro-ph.IM2025★ 1 cited

AstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in Astronomy

Jinghang Shi, Xiaoyu Tang, Yang Huang +4

Astronomical image interpretation presents a significant challenge for applying multimodal large language models (MLLMs) to specialized scientific tasks. Existing benchmarks focus…

cs.AI2025

OpenCUA: Open Foundations for Computer-Use Agents

Xinyuan Wang, Bowen Wang, Dunjie Lu +39

Vision-language models have demonstrated impressive capabilities as computer-use agents (CUAs) capable of automating diverse computer tasks. As their commercial potential grows, cr…

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