ToolHazard: Scaling Adversarial Environments for Security Evaluation and Alignment of LLM-based Agents Paper • 2608.11878 • Published 9 days ago • 10
Intern-S2-Preview: Scientific Agentic Foundation Model Paper • 2608.13505 • Published 8 days ago • 66
SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs Paper • 2608.03573 • Published 15 days ago • 55
SWE-Bench ProMax: Benchmarking Agents on Large-Scale Multilingual Code Refactoring Paper • 2608.09802 • Published 11 days ago • 130
Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination Paper • 2608.14391 • Published 7 days ago • 274
HarnessEval-W: Agentifying the Evaluation of Visual Worlds Paper • 2608.16859 • Published 4 days ago • 119
EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning Paper • 2608.06197 • Published 15 days ago • 44
JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents Paper • 2607.23588 • Published 26 days ago • 125
Qwen-AgentWorld: Language World Models for General Agents Paper • 2606.24597 • Published Jun 23 • 159
Toward Generalist Autonomous Research via Hypothesis-Tree Refinement Paper • 2606.11926 • Published Jun 10 • 130
From Prompt Injection to Persistent Control: Defending Agentic Harness Against Trojan Backdoors Paper • 2605.31042 • Published May 29 • 20
Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments Paper • 2605.30280 • Published May 28 • 146
Towards Verifiable Multimodal Deep Research: A Multi-Agent Harness for Interleaved Report Generation Paper • 2605.29861 • Published May 28 • 16
PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models Paper • 2605.20873 • Published May 20 • 44
Towards On-Policy Data Evolution for Visual-Native Multimodal Deep Search Agents Paper • 2605.10832 • Published May 11 • 23
Klear-AgentForge Collection Effective supervised fine-tuning (SFT) with synthetic data followed by multi-turn reinforcement learning (RL) for boosting agentic models. • 3 items • Updated Nov 13, 2025 • 4
ClawEnvKit: Automatic Environment Generation for Claw-Like Agents Paper • 2604.18543 • Published Apr 20 • 30