rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
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2501.04519
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288
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Transformer^2: Self-adaptive LLMs
Paper • 2501.06252 • Published • 54 -
Multimodal LLMs Can Reason about Aesthetics in Zero-Shot
Paper • 2501.09012 • Published • 10 -
FAST: Efficient Action Tokenization for Vision-Language-Action Models
Paper • 2501.09747 • Published • 28 -
Evolving Deeper LLM Thinking
Paper • 2501.09891 • Published • 115 -
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback
Paper • 2501.12895 • Published • 61 -
Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models
Paper • 2501.13629 • Published • 48 -
Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by Step
Paper • 2501.13926 • Published • 43 -
ScoreFlow: Mastering LLM Agent Workflows via Score-based Preference Optimization
Paper • 2502.04306 • Published • 20 -
ChartCitor: Multi-Agent Framework for Fine-Grained Chart Visual Attribution
Paper • 2502.00989 • Published • 8 -
PILAF: Optimal Human Preference Sampling for Reward Modeling
Paper • 2502.04270 • Published • 12 -
Matryoshka Quantization
Paper • 2502.06786 • Published • 32 -
Show-o Turbo: Towards Accelerated Unified Multimodal Understanding and Generation
Paper • 2502.05415 • Published • 20 -
Region-Adaptive Sampling for Diffusion Transformers
Paper • 2502.10389 • Published • 53 -
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
Paper • 2502.10391 • Published • 34 -
ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generation
Paper • 2502.09411 • Published • 22 -
AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence
Paper • 2502.13943 • Published • 8 -
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 194 -
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Paper • 2502.14786 • Published • 157 -
How Much Knowledge Can You Pack into a LoRA Adapter without Harming LLM?
Paper • 2502.14502 • Published • 91 -
SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines
Paper • 2502.14739 • Published • 107 -
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
Paper • 2502.14768 • Published • 47 -
Discovering highly efficient low-weight quantum error-correcting codes with reinforcement learning
Paper • 2502.14372 • Published • 36 -
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Paper • 2502.12853 • Published • 29 -
Multimodal Inconsistency Reasoning (MMIR): A New Benchmark for Multimodal Reasoning Models
Paper • 2502.16033 • Published • 18 -
SWE-RL: Advancing LLM Reasoning via Reinforcement Learning on Open Software Evolution
Paper • 2502.18449 • Published • 75 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 133 -
PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
Paper • 2510.14528 • Published • 113