Omni-IO Skills: Harnessing Your Agent Omni-Native Paper • 2609.31847 • Published about 1 month ago • 486
HarnessDev: Can LLMs Create and Evolve Their Own Agent Harness? Paper • 2609.01437 • Published Sep 1 • 522
Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling Paper • 2608.30821 • Published Aug 31 • 119
HarnessEval-W: Agentifying the Evaluation of Visual Worlds Paper • 2608.16859 • Published Aug 17 • 342
Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization Paper • 2608.16072 • Published Aug 17 • 150
Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA Paper • 2608.09819 • Published Aug 10 • 347
How Fast Can Reward Models Score? A Systems Study of C++ and PyTorch Inference Runtimes for RLHF Paper • 2607.19712 • Published Jul 22 • 4