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Bin Wang

9 papers hereh-index 4136 citations9 works total

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

author position
  • middle author9

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

fields
  • cs.AI6
  • cs.CL2
  • cs.LG1
same name
  • Bin Wang — 124 papers, h 54
  • Bin Wang — 28 papers, h 16
  • Bin Wang — 17 papers, h 9
  • Bin Wang — 14 papers
  • Bin Wang — 12 papers, h 11
  • Bin Wang — 12 papers, h 6

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 citedGUI Agents with Foundation Models: A Comprehensive Survey

2 citations · 3 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.LG2026

UserToolBench: A User-Profile-Hidden Benchmark for Personalized Decision Making in Tool-Use LLMs

Xuexiong Yin, Zechuan Chen, Yongsen Zheng +5

Tool-use LLMs are increasingly asked to act on users' behalf, but existing benchmarks usually focus on profile recall, style imitation, generic tool use, or response-level personal…

cs.AI2026

AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models

Shouwei Ruan, Bin Wang, Zhenyu Wu +5

Multimodal Foundation Models (MFMs) have made substantial progress, yet remain fragile in spatial reasoning over the physical world. A key bottleneck lies in their inability to tra…

cs.AI2026

WorldCoder-Bench: Benchmarking Physically Grounded 3D World Synthesis

Shuo Lu, Yinuo Xu, Kecheng Yu +8

Large language models (LLMs) are increasingly asked not only to write static interfaces, but to construct executable interactive worlds from natural language. Browser-native 3D, co…

cs.AI2026

World2Mind: Cognition Toolkit for Allocentric Spatial Reasoning in Foundation Models

Shouwei Ruan, Bin Wang, Zhenyu Wu +4

Achieving robust spatial reasoning remains a fundamental challenge for current Multimodal Foundation Models (MFMs). Existing methods either overfit statistical shortcuts via 3D gro…

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