Sage-A1.5: From Long-Horizon Execution to Scientific Exploration with Capability Composition Paper • 2610.28578 • Published 3 days ago • 67
MLExpert: Towards a Generalist Agentic Model for Autonomous Machine Learning Engineering Paper • 2610.22344 • Published 8 days ago • 28
ForgeWM: Progressive Causal Training for Few-Step Action-Conditioned Video World Models Paper • 2608.14022 • Published Aug 14 • 24
Agents-A1 Collection Agents-A1 is a Long-horizon Agentic Model that reaches trillion-parameter-level performance by scaling the agent horizon. • 12 items • Updated Jul 16 • 45
Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent Paper • 2606.30616 • Published Jun 29 • 105
MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery Paper • 2606.06473 • Published Jun 4 • 23
MinerU2.5-Pro: Pushing the Limits of Data-Centric Document Parsing at Scale Paper • 2604.04771 • Published Apr 6 • 103
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery Paper • 2602.08990 • Published Feb 9 • 71