Maëline Lefebvre

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upvoted a paper 2 days ago

Kinematic MeanFlow: One-Step Action Generation Policy for Robotic Foundation Models

Paper • 2610.00864 • Published 10 days ago • 45

upvoted a paper 3 days ago

VepAgent: Bridging Causal-Transition via Tool-Augmented Reinforcement Learning for Video Event Prediction

Paper • 2610.06293 • Published 6 days ago • 55

upvoted 2 papers 8 days ago

VGI-Bench: Probing Visual Intelligence in Video Generation Models

Paper • 2608.19583 • Published Aug 26 • 333

Function-Aware Fill-in-the-Middle as Mid-Training for Coding Agent Foundation Models

Paper • 2607.12463 • Published Jul 14 • 158

upvoted a paper 9 days ago

Adaptive Reward Routing: Dynamic Multi-Reward Optimization for Joint Audio-Video Diffusion via Forward-Process RL

Paper • 2609.37200 • Published 12 days ago • 140

upvoted a paper 12 days ago

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

Paper • 2609.35432 • Published 13 days ago • 109

upvoted a paper 17 days ago

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

Paper • 2609.25804 • Published 19 days ago • 164

upvoted 2 papers about 1 month ago

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

Paper • 2609.08183 • Published Sep 8 • 321

Aspire: Can Models Self-Evolve from Vague Goals?

Paper • 2608.31111 • Published Aug 31 • 274

upvoted 3 papers about 2 months ago

EnvHarness: Awakening Static Worlds for Agent Learning

Paper • 2608.19880 • Published Aug 20 • 161

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

Paper • 2608.11924 • Published Aug 12 • 111

Beyond Pixels: From Video Priors to 4D Worlds

Paper • 2608.10744 • Published Aug 11 • 192

upvoted 6 papers 2 months ago

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

Paper • 2608.09819 • Published Aug 10 • 181

Metis: Memory Foundation Model

Paper • 2607.26760 • Published Jul 29 • 185

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

Paper • 2607.28227 • Published Jul 30 • 159

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

upvoted a paper 3 months ago

Distilled Reinforcement Learning for LLM Post-training

Paper • 2607.17247 • Published Jul 19 • 13