Maëline Lefebvre

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upvoted a paper 4 days ago

Aspire: Can Models Self-Evolve from Vague Goals?

Paper • 2608.31111 • Published 8 days ago • 222

upvoted a paper 18 days ago

EnvHarness: Awakening Static Worlds for Agent Learning

Paper • 2608.19880 • Published 19 days ago • 274

upvoted a paper 25 days ago

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

Paper • 2608.11924 • Published 27 days ago • 291

upvoted a paper 27 days ago

Beyond Pixels: From Video Priors to 4D Worlds

Paper • 2608.10744 • Published 28 days ago • 189

upvoted a paper 28 days ago

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

Paper • 2608.09819 • Published 29 days ago • 342

upvoted 5 papers about 1 month ago

Metis: Memory Foundation Model

Paper • 2607.26760 • Published Jul 29 • 274

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

Paper • 2607.28227 • Published Jul 30 • 311

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

Paper • 2607.26811 • Published Jul 29 • 93

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

Paper • 2607.19712 • Published Jul 22 • 3

Progress Reward Modeling for Robotic Learning: A Comprehensive Survey

Paper • 2607.21655 • Published Jul 22 • 193

upvoted a paper about 2 months ago

Distilled Reinforcement Learning for LLM Post-training

Paper • 2607.17247 • Published Jul 19 • 12