Jieyu Zhao

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upvoted a paper about 9 hours ago

The Blind Spot of Agent Safety: How Benign User Instructions Expose Critical Vulnerabilities in Computer-Use Agents

Paper • 2604.10577 • Published 4 days ago • 19

upvoted a paper 6 days ago

Structured Distillation of Web Agent Capabilities Enables Generalization

Paper • 2604.07776 • Published 7 days ago • 20

upvoted a paper about 1 month ago

Video-Based Reward Modeling for Computer-Use Agents

Paper • 2603.10178 • Published Mar 10 • 43

authored a paper about 1 month ago

Video-Based Reward Modeling for Computer-Use Agents

Paper • 2603.10178 • Published Mar 10 • 43

upvoted a paper about 2 months ago

Experiential Reinforcement Learning

Paper • 2602.13949 • Published Feb 15 • 72

upvoted a paper 8 months ago

CoAct-1: Computer-using Agents with Coding as Actions

Paper • 2508.03923 • Published Aug 5, 2025 • 13

upvoted a paper 10 months ago

Feedback Friction: LLMs Struggle to Fully Incorporate External Feedback

Paper • 2506.11930 • Published Jun 13, 2025 • 53

upvoted 2 papers 11 months ago

The Hallucination Tax of Reinforcement Finetuning

Paper • 2505.13988 • Published May 20, 2025 • 8

Efficient Reinforcement Finetuning via Adaptive Curriculum Learning

Paper • 2504.05520 • Published Apr 7, 2025 • 11

authored a paper about 1 year ago

Discovering Knowledge Deficiencies of Language Models on Massive Knowledge Base

Paper • 2503.23361 • Published Mar 30, 2025 • 5

authored a paper over 2 years ago

TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 69