Shenzhe Zhu

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upvoted a paper 5 days ago

VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use

Paper • 2509.01055 • Published 7 days ago • 61

upvoted a paper about 2 months ago

4KAgent: Agentic Any Image to 4K Super-Resolution

Paper • 2507.07105 • Published Jul 9 • 100

upvoted 4 papers 3 months ago

Autoregressive Adversarial Post-Training for Real-Time Interactive Video Generation

Paper • 2506.09350 • Published Jun 11 • 48

Enhancing Human-Like Responses in Large Language Models

Paper • 2501.05032 • Published Jan 9 • 58

The Automated but Risky Game: Modeling Agent-to-Agent Negotiations and Transactions in Consumer Markets

Paper • 2506.00073 • Published May 29 • 2

DINO-R1: Incentivizing Reasoning Capability in Vision Foundation Models

Paper • 2505.24025 • Published May 29 • 27

upvoted a paper 4 months ago

Why Do Multi-Agent LLM Systems Fail?

Paper • 2503.13657 • Published Mar 17 • 48

upvoted a paper 5 months ago

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Paper • 2501.12948 • Published Jan 22 • 418

upvoted a paper 6 months ago

Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements

Paper • 2502.12904 • Published Feb 18 • 2

upvoted 3 papers 10 months ago

What makes your model a low-empathy or warmth person: Exploring the Origins of Personality in LLMs

Paper • 2410.10863 • Published Oct 7, 2024 • 1

Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study

Paper • 2411.02462 • Published Nov 4, 2024 • 10

LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations

Paper • 2410.02707 • Published Oct 3, 2024 • 49