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Baoyuan Wu

4 papers hereh-index 564 citations8 works total

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

author position
  • middle author2
  • last author2

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

fields
  • cs.AI2
  • cs.CV1
  • cs.LG1
same name
  • Baoyuan Wu — 6 papers, h 3
  • Baoyuan Wu — 6 papers, h 10
  • Baoyuan Wu — 4 papers, h 2
  • Baoyuan Wu — 4 papers, h 2
  • Baoyuan Wu — 3 papers, h 3
  • Baoyuan Wu — 3 papers, h 50

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
collaborators

4 papers

cs.LG2026

Running the Gauntlet: Re-evaluating the Capabilities of Agents Beyond Familiar Environments

Mykola Vysotskyi, Runqi Lin, Grzegorz Biziel +22

As agentic systems continue to evolve and are widely deployed in real-world scenarios, there is a growing demand to faithfully evaluate their capabilities. However, current benchma…

cs.AI2025

AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models

Zihao Zhu, Xinyu Wu, Gehan Hu +3

Large Reasoning Models (LRMs) have demonstrated remarkable capabilities in complex problem-solving through Chain-of-Thought (CoT) reasoning. However, the multi-step nature of CoT i…

cs.CV2025

Spurious Feature Eraser: Stabilizing Test-Time Adaptation for Vision-Language Foundation Model

Huan Ma, Yan Zhu, Changqing Zhang +5

Vision-language foundation models have exhibited remarkable success across a multitude of downstream tasks due to their scalability on extensive image-text paired data. However, th…

cs.AI2024

EARBench: Towards Evaluating Physical Risk Awareness for Task Planning of Foundation Model-based Embodied AI Agents

Zihao Zhu, Bingzhe Wu, Zhengyou Zhang +3

Embodied artificial intelligence (EAI) integrates advanced AI models into physical entities for real-world interaction. The emergence of foundation models as the "brain" of EAI age…

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