VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks Paper • 2504.05118 • Published 14 days ago • 24
R1-Zero's "Aha Moment" in Visual Reasoning on a 2B Non-SFT Model Paper • 2503.05132 • Published Mar 7 • 55
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models Paper • 2503.09573 • Published Mar 12 • 68
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution Paper • 2502.18449 • Published Feb 25 • 74
LlamaV-o1: Rethinking Step-by-step Visual Reasoning in LLMs Paper • 2501.06186 • Published Jan 10 • 66
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions Paper • 2411.14405 • Published Nov 21, 2024 • 62
Unpacking SDXL Turbo: Interpreting Text-to-Image Models with Sparse Autoencoders Paper • 2410.22366 • Published Oct 28, 2024 • 82
OpenWebVoyager: Building Multimodal Web Agents via Iterative Real-World Exploration, Feedback and Optimization Paper • 2410.19609 • Published Oct 25, 2024 • 17
TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling Paper • 2410.16033 • Published Oct 18, 2024
A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement Paper • 2410.13828 • Published Oct 17, 2024 • 4 • 2
A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement Paper • 2410.13828 • Published Oct 17, 2024 • 4
LLM-RankFusion: Mitigating Intrinsic Inconsistency in LLM-based Ranking Paper • 2406.00231 • Published May 31, 2024
A Common Pitfall of Margin-based Language Model Alignment: Gradient Entanglement Paper • 2410.13828 • Published Oct 17, 2024 • 4