Agent-Editing World Model Collection Resources for Agent-Editing World Model (AEWM), a world model for improving long-horizon LLM agents through decision-effect modeling and state rev • 2 items • Updated about 12 hours ago • 1
CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Paper • 2608.06352 • Published Aug 6 • 24
AREX: Towards a Recursively Self-Improving Agent for Deep Research Paper • 2607.21461 • Published Jul 23 • 107
Ring-Zero: Scaling Zero RL to a Trillion Parameters for Emergent Reasoning Paper • 2607.12395 • Published Jul 14 • 92
Qwen-AgentWorld: Language World Models for General Agents Paper • 2606.24597 • Published Jun 23 • 165
FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents Paper • 2606.12087 • Published Jun 10 • 51
DeNovoSWE: Scaling Long-Horizon Environments for Generating Entire Repositories from Scratch Paper • 2606.10728 • Published Jun 9 • 37