Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models Paper • 2503.24377 • Published 6 days ago • 17
M-STAR Collection Resources of M-STAR (Multimodal Self-Evolving Training for Reasoning) https://mstar-lmm.github.io/ • 2 items • Updated Dec 25, 2024 • 4
SimpleRL Collection The collection for the Project "Simple Reinforcement Learning for Reasoning" • 2 items • Updated Feb 19 • 6
SimpleRL-Zoo Collection The collection for the Paper "SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild" • 12 items • Updated 5 days ago • 6
SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild Paper • 2503.18892 • Published 13 days ago • 28
Language Models can Self-Improve at State-Value Estimation for Better Search Paper • 2503.02878 • Published Mar 4 • 9
Predictive Data Selection: The Data That Predicts Is the Data That Teaches Paper • 2503.00808 • Published Mar 2 • 57
LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid Paper • 2502.07563 • Published Feb 11 • 24
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Paper • 2502.07316 • Published Feb 11 • 48
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback Paper • 2501.12895 • Published Jan 22 • 60
Sa2VA: Marrying SAM2 with LLaVA for Dense Grounded Understanding of Images and Videos Paper • 2501.04001 • Published Jan 7 • 47
REINFORCE++: A Simple and Efficient Approach for Aligning Large Language Models Paper • 2501.03262 • Published Jan 4 • 99
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models Paper • 2501.03124 • Published Jan 6 • 14
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis Paper • 2412.19723 • Published Dec 27, 2024 • 89
Diving into Self-Evolving Training for Multimodal Reasoning Paper • 2412.17451 • Published Dec 23, 2024 • 44
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners Paper • 2412.17256 • Published Dec 23, 2024 • 48
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling Paper • 2409.19291 • Published Sep 28, 2024 • 19