Watch Before You Answer: Learning from Visually Grounded Post-Training Paper • 2604.05117 • Published Apr 6 • 163
HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness? Paper • 2609.01437 • Published Sep 1 • 568
S3Gym: Can LLMs Turn Self-Testing and Self-Judging into Self-Improvement? Paper • 2608.31100 • Published Aug 31 • 148
NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness Paper • 2609.08183 • Published Sep 8 • 321
Repo-To-Skill: Distilling GitHub Repositories Into AI4AI Skills Paper • 2609.02749 • Published Sep 2 • 408
A Sparse and Truncated State Vector Simulator for Peaked Circuits Paper • 2607.07816 • Published Jul 8 • 7
PraMem: Practice-derived Experiential Memory for Long-horizon Behavior Prediction Paper • 2607.02881 • Published Jul 3 • 7
AutoTrainess: Teaching Language Models to Improve Language Models Autonomously Paper • 2606.31551 • Published Jun 30 • 21
Who Flips? Self- and Cross-Model Counterarguments Reveal Answer Instability in LLMs Paper • 2606.16011 • Published Jun 14 • 4
Full Attention Strikes Back: Transferring Full Attention into Sparse within Hundred Training Steps Paper • 2605.16928 • Published May 16 • 91
OSCAR: Offline Spectral Covariance-Aware Rotation for 2-bit KV Cache Quantization Paper • 2605.17757 • Published May 18 • 17
Video2GUI: Synthesizing Large-Scale Interaction Trajectories for Generalized GUI Agent Pretraining Paper • 2605.14747 • Published May 14 • 57
What Matters for Diffusion-Friendly Latent Manifold? Prior-Aligned Autoencoders for Latent Diffusion Paper • 2605.07915 • Published May 8 • 9
How Fast Should a Model Commit to Supervision? Training Reasoning Models on the Tsallis Loss Continuum Paper • 2604.25907 • Published Apr 28 • 4
GrandCode: Achieving Grandmaster Level in Competitive Programming via Agentic Reinforcement Learning Paper • 2604.02721 • Published Apr 3 • 87