The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents Paper • 2610.36077 • Published 6 days ago • 45
EvalResearchBench: Can AI Agents Build Their Own Feedback for Recursive Self-Improvement? Paper • 2610.04184 • Published 16 days ago • 20
Long-WAM: Scaling the Context of World-Action Models Paper • 2610.10528 • Published 25 days ago • 102
CurveCodec 2: Skeleton-agnostic animation compression with a learned entropy model Paper • 2610.04211 • Published 29 days ago • 3
Confidence Comes from Experience: Experiential Confidence Estimation from Reasoning to Agents Paper • 2609.17708 • Published Sep 15 • 62
Continual Learning Mechanisms Compose for Long-Horizon Memorization Paper • 2609.06986 • Published Sep 7 • 102
UniH^3: Unifying Hierarchical Homogeneity and Heterogeneity for All-in-One Medical Image Restoration Paper • 2609.11156 • Published Sep 10 • 4
GE-Act 2.0: Pretraining and Scaling a World-Action Model for Robotic Manipulation Paper • 2609.05588 • Published Sep 4 • 42
Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction Paper • 2609.04201 • Published Sep 3 • 40
SemaPLC: A Project-Grounded, Verification-Gated Agent Harness for PLC Code Generation Paper • 2608.18565 • Published Aug 19 • 24
Are You Sure You're Sure? On the Impact of Instruction Tuning on Confidence and Lexical Diversity Paper • 2608.13430 • Published Aug 13 • 6
OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution Paper • 2608.00677 • Published Aug 1 • 30
CalibForge: Adversarial Solver Calibration for Scaling Learnable Terminal Tasks Paper • 2608.06352 • Published Aug 6 • 15
Activity Frames: Deterministic Screen-Activity Compilation for Agent Memory and Replay Paper • 2608.05784 • Published Aug 6 • 16