The Blind Spot of Agent Safety: How Benign User Instructions Expose Critical Vulnerabilities in Computer-Use Agents Paper • 2604.10577 • Published 6 days ago • 24
ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning Paper • 2603.10160 • Published Mar 10 • 26
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger Paper • 2602.08222 • Published Feb 9 • 290
TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning Paper • 2510.06217 • Published Oct 7, 2025 • 67
Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum Paper • 2510.00526 • Published Oct 1, 2025 • 10
EPO: Entropy-regularized Policy Optimization for LLM Agents Reinforcement Learning Paper • 2509.22576 • Published Sep 26, 2025 • 137
VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use Paper • 2505.19255 • Published May 25, 2025 • 5
Saffron-1: Towards an Inference Scaling Paradigm for LLM Safety Assurance Paper • 2506.06444 • Published Jun 6, 2025 • 73