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Feb 7
Feb 7Collections
Discover the best community collections!
Collections including paper arxiv:2502.02737
Collection by
Feb 11
Feb 11-
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
Paper • 2502.00674 • Published • 13 -
Demystifying Long Chain-of-Thought Reasoning in LLMs
Paper • 2502.03373 • Published • 59 -
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
Paper • 2502.02737 • Published • 242 -
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models
Paper • 2502.01142 • Published • 24
Collection by
Feb 24
Feb 24-
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 284 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 155 -
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 147
Collection by
Apr 29
Apr 29-
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models
Paper • 2501.02955 • Published • 45 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding
Paper • 2501.12380 • Published • 86 -
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos
Paper • 2501.09781 • Published • 29
Collection by
Jun 26
Jun 26-
Phi-4 Technical Report
Paper • 2412.08905 • Published • 121 -
Evaluating and Aligning CodeLLMs on Human Preference
Paper • 2412.05210 • Published • 51 -
Evaluating Language Models as Synthetic Data Generators
Paper • 2412.03679 • Published • 49 -
Yi-Lightning Technical Report
Paper • 2412.01253 • Published • 29
Collection by
Feb 7
Feb 7Collection by
Jul 30
Jul 30-
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
Paper • 2502.02737 • Published • 242 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 251 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 418 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298
Collection by
Feb 24
Feb 24-
Cosmos World Foundation Model Platform for Physical AI
Paper • 2501.03575 • Published • 81 -
Phi-4 Technical Report
Paper • 2412.08905 • Published • 121 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
DeepSeek-V3 Technical Report
Paper • 2412.19437 • Published • 70
Collection by
Feb 13
Feb 13-
STaR: Bootstrapping Reasoning With Reasoning
Paper • 2203.14465 • Published • 9 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 11 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 90 -
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Paper • 2411.14405 • Published • 62
Collection by
Apr 25
Apr 25-
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 134 -
Understanding R1-Zero-Like Training: A Critical Perspective
Paper • 2503.20783 • Published • 57 -
Inference-Time Scaling for Generalist Reward Modeling
Paper • 2504.02495 • Published • 57 -
Large Language Diffusion Models
Paper • 2502.09992 • Published • 123
Collection by
Feb 7
Feb 7Collection by
Feb 7
Feb 7Collection by
Feb 11
Feb 11-
Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial?
Paper • 2502.00674 • Published • 13 -
Demystifying Long Chain-of-Thought Reasoning in LLMs
Paper • 2502.03373 • Published • 59 -
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
Paper • 2502.02737 • Published • 242 -
DeepRAG: Thinking to Retrieval Step by Step for Large Language Models
Paper • 2502.01142 • Published • 24
Collection by
Jul 30
Jul 30-
SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model
Paper • 2502.02737 • Published • 242 -
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 251 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 418 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298
Collection by
Feb 24
Feb 24-
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 284 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 155 -
Apollo: An Exploration of Video Understanding in Large Multimodal Models
Paper • 2412.10360 • Published • 147
Collection by
Feb 24
Feb 24-
Cosmos World Foundation Model Platform for Physical AI
Paper • 2501.03575 • Published • 81 -
Phi-4 Technical Report
Paper • 2412.08905 • Published • 121 -
MiniMax-01: Scaling Foundation Models with Lightning Attention
Paper • 2501.08313 • Published • 298 -
DeepSeek-V3 Technical Report
Paper • 2412.19437 • Published • 70
Collection by
Apr 29
Apr 29-
MotionBench: Benchmarking and Improving Fine-grained Video Motion Understanding for Vision Language Models
Paper • 2501.02955 • Published • 45 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
MMVU: Measuring Expert-Level Multi-Discipline Video Understanding
Paper • 2501.12380 • Published • 86 -
VideoWorld: Exploring Knowledge Learning from Unlabeled Videos
Paper • 2501.09781 • Published • 29
Collection by
Feb 13
Feb 13-
STaR: Bootstrapping Reasoning With Reasoning
Paper • 2203.14465 • Published • 9 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 11 -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 90 -
Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions
Paper • 2411.14405 • Published • 62
Collection by
Jun 26
Jun 26-
Phi-4 Technical Report
Paper • 2412.08905 • Published • 121 -
Evaluating and Aligning CodeLLMs on Human Preference
Paper • 2412.05210 • Published • 51 -
Evaluating Language Models as Synthetic Data Generators
Paper • 2412.03679 • Published • 49 -
Yi-Lightning Technical Report
Paper • 2412.01253 • Published • 29
Collection by
Apr 25
Apr 25-
Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?
Paper • 2504.13837 • Published • 134 -
Understanding R1-Zero-Like Training: A Critical Perspective
Paper • 2503.20783 • Published • 57 -
Inference-Time Scaling for Generalist Reward Modeling
Paper • 2504.02495 • Published • 57 -
Large Language Diffusion Models
Paper • 2502.09992 • Published • 123