Expanding RL with Verifiable Rewards Across Diverse Domains Paper • 2503.23829 • Published Mar 31 • 19
What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models Paper • 2503.24235 • Published Mar 31 • 53
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model Paper • 2503.24290 • Published Mar 31 • 62
DAPO: An Open-Source LLM Reinforcement Learning System at Scale Paper • 2503.14476 • Published Mar 18 • 124
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't Paper • 2503.16219 • Published Mar 20 • 48
PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models Paper • 2503.12545 • Published Mar 16 • 5
MPBench: A Comprehensive Multimodal Reasoning Benchmark for Process Errors Identification Paper • 2503.12505 • Published Mar 16 • 9
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization Paper • 2503.12937 • Published Mar 17 • 29
BlobCtrl: A Unified and Flexible Framework for Element-level Image Generation and Editing Paper • 2503.13434 • Published Mar 17 • 27
MedAgentsBench: Benchmarking Thinking Models and Agent Frameworks for Complex Medical Reasoning Paper • 2503.07459 • Published Mar 10 • 16
MoC: Mixtures of Text Chunking Learners for Retrieval-Augmented Generation System Paper • 2503.09600 • Published Mar 12 • 4
LMM-R1: Empowering 3B LMMs with Strong Reasoning Abilities Through Two-Stage Rule-Based RL Paper • 2503.07536 • Published Mar 10 • 86
Quantization for OpenAI's Whisper Models: A Comparative Analysis Paper • 2503.09905 • Published Mar 12 • 6
Slamming: Training a Speech Language Model on One GPU in a Day Paper • 2502.15814 • Published Feb 19 • 70
SWE-Lancer: Can Frontier LLMs Earn $1 Million from Real-World Freelance Software Engineering? Paper • 2502.12115 • Published Feb 17 • 45