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Attention Is All You Need
Paper • 1706.03762 • Published • 140 -
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Paper • 1912.01703 • Published • 2 -
google-bert/bert-base-uncased
Fill-Mask • 0.1B • Updated • 58.6M • • 2.89k -
openai-community/gpt2
Text Generation • 0.1B • Updated • 14.1M • 3.57k
Collections
Discover the best community collections!
Collections including paper arxiv:2412.16720
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OpenAI o1 System Card
Paper • 2412.16720 • Published • 38 -
A Comparative Study on Reasoning Patterns of OpenAI's o1 Model
Paper • 2410.13639 • Published • 19 -
Early External Safety Testing of OpenAI's o3-mini: Insights from the Pre-Deployment Evaluation
Paper • 2501.17749 • Published • 14 -
A Case Study of Web App Coding with OpenAI Reasoning Models
Paper • 2409.13773 • Published • 7
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OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
Paper • 2511.16334 • Published • 96 -
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 106 -
ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute
Paper • 2509.04475 • Published • 3 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 109
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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 • 36 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 47
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OpenAI o1 System Card
Paper • 2412.16720 • Published • 38 -
LearnLM: Improving Gemini for Learning
Paper • 2412.16429 • Published • 23 -
NILE: Internal Consistency Alignment in Large Language Models
Paper • 2412.16686 • Published • 8 -
Offline Reinforcement Learning for LLM Multi-Step Reasoning
Paper • 2412.16145 • Published • 38
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Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 21 -
Evaluating Large Language Models Trained on Code
Paper • 2107.03374 • Published • 12 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 26 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 7
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Guided Self-Evolving LLMs with Minimal Human Supervision
Paper • 2512.02472 • Published • 55 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 147 -
Video Reasoning without Training
Paper • 2510.17045 • Published • 9 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 276
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ProcessBench: Identifying Process Errors in Mathematical Reasoning
Paper • 2412.06559 • Published • 87 -
Maya: An Instruction Finetuned Multilingual Multimodal Model
Paper • 2412.07112 • Published • 28 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 38 -
Diving into Self-Evolving Training for Multimodal Reasoning
Paper • 2412.17451 • Published • 41
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RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
Paper • 2412.14922 • Published • 87 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 47 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 38 -
Revisiting In-Context Learning with Long Context Language Models
Paper • 2412.16926 • Published • 32
-
Attention Is All You Need
Paper • 1706.03762 • Published • 140 -
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Paper • 1912.01703 • Published • 2 -
google-bert/bert-base-uncased
Fill-Mask • 0.1B • Updated • 58.6M • • 2.89k -
openai-community/gpt2
Text Generation • 0.1B • Updated • 14.1M • 3.57k
-
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 21 -
Evaluating Large Language Models Trained on Code
Paper • 2107.03374 • Published • 12 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 26 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 7
-
OpenAI o1 System Card
Paper • 2412.16720 • Published • 38 -
A Comparative Study on Reasoning Patterns of OpenAI's o1 Model
Paper • 2410.13639 • Published • 19 -
Early External Safety Testing of OpenAI's o3-mini: Insights from the Pre-Deployment Evaluation
Paper • 2501.17749 • Published • 14 -
A Case Study of Web App Coding with OpenAI Reasoning Models
Paper • 2409.13773 • Published • 7
-
Guided Self-Evolving LLMs with Minimal Human Supervision
Paper • 2512.02472 • Published • 55 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 147 -
Video Reasoning without Training
Paper • 2510.17045 • Published • 9 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 276
-
OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe
Paper • 2511.16334 • Published • 96 -
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Paper • 2509.07980 • Published • 106 -
ParaThinker: Native Parallel Thinking as a New Paradigm to Scale LLM Test-time Compute
Paper • 2509.04475 • Published • 3 -
Stabilizing Reinforcement Learning with LLMs: Formulation and Practices
Paper • 2512.01374 • Published • 109
-
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 • 36 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 47
-
ProcessBench: Identifying Process Errors in Mathematical Reasoning
Paper • 2412.06559 • Published • 87 -
Maya: An Instruction Finetuned Multilingual Multimodal Model
Paper • 2412.07112 • Published • 28 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 38 -
Diving into Self-Evolving Training for Multimodal Reasoning
Paper • 2412.17451 • Published • 41
-
OpenAI o1 System Card
Paper • 2412.16720 • Published • 38 -
LearnLM: Improving Gemini for Learning
Paper • 2412.16429 • Published • 23 -
NILE: Internal Consistency Alignment in Large Language Models
Paper • 2412.16686 • Published • 8 -
Offline Reinforcement Learning for LLM Multi-Step Reasoning
Paper • 2412.16145 • Published • 38
-
RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response
Paper • 2412.14922 • Published • 87 -
B-STaR: Monitoring and Balancing Exploration and Exploitation in Self-Taught Reasoners
Paper • 2412.17256 • Published • 47 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 38 -
Revisiting In-Context Learning with Long Context Language Models
Paper • 2412.16926 • Published • 32