-
S*: Test Time Scaling for Code Generation
Paper • 2502.14382 • Published • 63 -
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Paper • 2502.12853 • Published • 29 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 286 -
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
Paper • 2502.02508 • Published • 23
Collections
Discover the best community collections!
Collections including paper arxiv:2503.24290
-
MLLM-as-a-Judge for Image Safety without Human Labeling
Paper • 2501.00192 • Published • 31 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
Xmodel-2 Technical Report
Paper • 2412.19638 • Published • 26 -
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 104
-
Phi-4 Technical Report
Paper • 2412.08905 • Published • 122 -
Evaluating and Aligning CodeLLMs on Human Preference
Paper • 2412.05210 • Published • 50 -
Evaluating Language Models as Synthetic Data Generators
Paper • 2412.03679 • Published • 48 -
Yi-Lightning Technical Report
Paper • 2412.01253 • Published • 28
-
StdGEN: Semantic-Decomposed 3D Character Generation from Single Images
Paper • 2411.05738 • Published • 15 -
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents
Paper • 2410.22476 • Published • 27 -
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Paper • 2410.23218 • Published • 49 -
Training-free Regional Prompting for Diffusion Transformers
Paper • 2411.02395 • Published • 25
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FLAME: Factuality-Aware Alignment for Large Language Models
Paper • 2405.01525 • Published • 28 -
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Paper • 2405.14333 • Published • 41 -
Transformers Can Do Arithmetic with the Right Embeddings
Paper • 2405.17399 • Published • 54 -
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture
Paper • 2405.18991 • Published • 12
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Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs
Paper • 2501.18585 • Published • 62 -
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!
Paper • 2502.07374 • Published • 40 -
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Paper • 2502.06703 • Published • 153 -
S*: Test Time Scaling for Code Generation
Paper • 2502.14382 • Published • 63
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Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
Paper • 2412.18319 • Published • 39 -
Token-Budget-Aware LLM Reasoning
Paper • 2412.18547 • Published • 46 -
Efficiently Serving LLM Reasoning Programs with Certaindex
Paper • 2412.20993 • Published • 37 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 47
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PaliGemma 2: A Family of Versatile VLMs for Transfer
Paper • 2412.03555 • Published • 133 -
Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset
Paper • 2402.14804 • Published • 4 -
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62
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SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights
Paper • 2410.09008 • Published • 17 -
answerdotai/ModernBERT-base
Fill-Mask • 0.1B • Updated • 782k • 955 -
answerdotai/ModernBERT-large
Fill-Mask • 0.4B • Updated • 72.8k • 431 -
microsoft/phi-4
Text Generation • 15B • Updated • 457k • 2.19k
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How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 42 -
A Survey on Data Selection for LLM Instruction Tuning
Paper • 2402.05123 • Published • 3 -
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Paper • 2409.12941 • Published • 24 -
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62
-
S*: Test Time Scaling for Code Generation
Paper • 2502.14382 • Published • 63 -
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Paper • 2502.12853 • Published • 29 -
rStar-Math: Small LLMs Can Master Math Reasoning with Self-Evolved Deep Thinking
Paper • 2501.04519 • Published • 286 -
Satori: Reinforcement Learning with Chain-of-Action-Thought Enhances LLM Reasoning via Autoregressive Search
Paper • 2502.02508 • Published • 23
-
Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs
Paper • 2501.18585 • Published • 62 -
LLMs Can Easily Learn to Reason from Demonstrations Structure, not content, is what matters!
Paper • 2502.07374 • Published • 40 -
Can 1B LLM Surpass 405B LLM? Rethinking Compute-Optimal Test-Time Scaling
Paper • 2502.06703 • Published • 153 -
S*: Test Time Scaling for Code Generation
Paper • 2502.14382 • Published • 63
-
MLLM-as-a-Judge for Image Safety without Human Labeling
Paper • 2501.00192 • Published • 31 -
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
Xmodel-2 Technical Report
Paper • 2412.19638 • Published • 26 -
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs
Paper • 2412.18925 • Published • 104
-
Mulberry: Empowering MLLM with o1-like Reasoning and Reflection via Collective Monte Carlo Tree Search
Paper • 2412.18319 • Published • 39 -
Token-Budget-Aware LLM Reasoning
Paper • 2412.18547 • Published • 46 -
Efficiently Serving LLM Reasoning Programs with Certaindex
Paper • 2412.20993 • Published • 37 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 47
-
Phi-4 Technical Report
Paper • 2412.08905 • Published • 122 -
Evaluating and Aligning CodeLLMs on Human Preference
Paper • 2412.05210 • Published • 50 -
Evaluating Language Models as Synthetic Data Generators
Paper • 2412.03679 • Published • 48 -
Yi-Lightning Technical Report
Paper • 2412.01253 • Published • 28
-
PaliGemma 2: A Family of Versatile VLMs for Transfer
Paper • 2412.03555 • Published • 133 -
Measuring Multimodal Mathematical Reasoning with MATH-Vision Dataset
Paper • 2402.14804 • Published • 4 -
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62
-
StdGEN: Semantic-Decomposed 3D Character Generation from Single Images
Paper • 2411.05738 • Published • 15 -
A Pointer Network-based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents
Paper • 2410.22476 • Published • 27 -
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Paper • 2410.23218 • Published • 49 -
Training-free Regional Prompting for Diffusion Transformers
Paper • 2411.02395 • Published • 25
-
SuperCorrect: Supervising and Correcting Language Models with Error-Driven Insights
Paper • 2410.09008 • Published • 17 -
answerdotai/ModernBERT-base
Fill-Mask • 0.1B • Updated • 782k • 955 -
answerdotai/ModernBERT-large
Fill-Mask • 0.4B • Updated • 72.8k • 431 -
microsoft/phi-4
Text Generation • 15B • Updated • 457k • 2.19k
-
FLAME: Factuality-Aware Alignment for Large Language Models
Paper • 2405.01525 • Published • 28 -
DeepSeek-Prover: Advancing Theorem Proving in LLMs through Large-Scale Synthetic Data
Paper • 2405.14333 • Published • 41 -
Transformers Can Do Arithmetic with the Right Embeddings
Paper • 2405.17399 • Published • 54 -
EasyAnimate: A High-Performance Long Video Generation Method based on Transformer Architecture
Paper • 2405.18991 • Published • 12
-
How to Train Data-Efficient LLMs
Paper • 2402.09668 • Published • 42 -
A Survey on Data Selection for LLM Instruction Tuning
Paper • 2402.05123 • Published • 3 -
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation
Paper • 2409.12941 • Published • 24 -
Open-Reasoner-Zero: An Open Source Approach to Scaling Up Reinforcement Learning on the Base Model
Paper • 2503.24290 • Published • 62