Maëline Lefebvre

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upvoted a paper 1 day ago

Self-Evolving Coding Agents: From Digital Programs to Physical-World Intelligence

Paper • 2609.35432 • Published 3 days ago • 99

upvoted a paper 7 days ago

The Tasteful Agent: Measuring and Improving Taste in Long-Horizon Tasks

Paper • 2609.25804 • Published 9 days ago • 160

upvoted a paper 21 days ago

NeoHorse-1: Towards Recursive Self-Improvement via Agentic Post-Training with Routing Harness

Paper • 2609.08183 • Published 23 days ago • 327

upvoted a paper 27 days ago

Aspire: Can Models Self-Evolve from Vague Goals?

Paper • 2608.31111 • Published about 1 month ago • 169

upvoted a paper about 1 month ago

EnvHarness: Awakening Static Worlds for Agent Learning

Paper • 2608.19880 • Published Aug 20 • 176

upvoted 3 papers about 2 months ago

Spark-to-Paper: End-to-End Research Paper Generation as a Composable Skill

Paper • 2608.11924 • Published Aug 12 • 110

Beyond Pixels: From Video Priors to 4D Worlds

Paper • 2608.10744 • Published Aug 11 • 187

Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA

Paper • 2608.09819 • Published Aug 10 • 179

upvoted 6 papers 2 months ago

Metis: Memory Foundation Model

Paper • 2607.26760 • Published Jul 29 • 184

Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents

Paper • 2607.28227 • Published Jul 30 • 158

DistillAlign: Coordinating Mode Covering and Mode Seeking in Autoregressive Video Distillation

Paper • 2607.26811 • Published Jul 29 • 18

How Fast Can Reward Models Score? A Systems Study of C++ and PyTorch Inference Runtimes for RLHF

Paper • 2607.19712 • Published Jul 22 • 4

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey

Paper • 2607.21655 • Published Jul 22 • 112

Distilled Reinforcement Learning for LLM Post-training

Paper • 2607.17247 • Published Jul 19 • 13