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Attention Is All You Need
Paper • 1706.03762 • Published • 144 -
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Paper • 1912.01703 • Published • 2 -
google-bert/bert-base-uncased
Fill-Mask • 0.1B • Updated • 38.5M • • 3.39k -
openai-community/gpt2
Text Generation • 0.1B • Updated • 15.4M • 4.21k
Collections
Discover the best community collections!
Collections including paper arxiv:2306.11644
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Textbooks Are All You Need
Paper • 2306.11644 • Published • 159 -
Self-Improving VLM Judges Without Human Annotations
Paper • 2512.05145 • Published • 21 -
FFP-300K: Scaling First-Frame Propagation for Generalizable Video Editing
Paper • 2601.01720 • Published • 6 -
MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
Paper • 2511.09067 • Published • 2
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Attention Is All You Need
Paper • 1706.03762 • Published • 144 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 21 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 25 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 252
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Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Paper • 2211.04325 • Published • 1 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 33 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published • 2 -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 2
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Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
Paper • 2603.12180 • Published • 66 -
Flow-OPD: On-Policy Distillation for Flow Matching Models
Paper • 2605.08063 • Published • 100 -
Normalizing Trajectory Models
Paper • 2605.08078 • Published • 13 -
STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation
Paper • 2605.08029 • Published • 13
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Textbooks Are All You Need
Paper • 2306.11644 • Published • 159 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 462 -
Muon is Scalable for LLM Training
Paper • 2502.16982 • Published • 17 -
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Paper • 2406.17557 • Published • 107
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Attention Is All You Need
Paper • 1706.03762 • Published • 144 -
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Paper • 1912.01703 • Published • 2 -
google-bert/bert-base-uncased
Fill-Mask • 0.1B • Updated • 38.5M • • 3.39k -
openai-community/gpt2
Text Generation • 0.1B • Updated • 15.4M • 4.21k
-
Strategic Navigation or Stochastic Search? How Agents and Humans Reason Over Document Collections
Paper • 2603.12180 • Published • 66 -
Flow-OPD: On-Policy Distillation for Flow Matching Models
Paper • 2605.08063 • Published • 100 -
Normalizing Trajectory Models
Paper • 2605.08078 • Published • 13 -
STARFlow2: Bridging Language Models and Normalizing Flows for Unified Multimodal Generation
Paper • 2605.08029 • Published • 13
-
Textbooks Are All You Need
Paper • 2306.11644 • Published • 159 -
Self-Improving VLM Judges Without Human Annotations
Paper • 2512.05145 • Published • 21 -
FFP-300K: Scaling First-Frame Propagation for Generalizable Video Editing
Paper • 2601.01720 • Published • 6 -
MM-CRITIC: A Holistic Evaluation of Large Multimodal Models as Multimodal Critique
Paper • 2511.09067 • Published • 2
-
Textbooks Are All You Need
Paper • 2306.11644 • Published • 159 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 462 -
Muon is Scalable for LLM Training
Paper • 2502.16982 • Published • 17 -
The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale
Paper • 2406.17557 • Published • 107
-
Attention Is All You Need
Paper • 1706.03762 • Published • 144 -
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 21 -
LLaMA: Open and Efficient Foundation Language Models
Paper • 2302.13971 • Published • 25 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 252
-
Will we run out of data? An analysis of the limits of scaling datasets in Machine Learning
Paper • 2211.04325 • Published • 1 -
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Paper • 1810.04805 • Published • 33 -
On the Opportunities and Risks of Foundation Models
Paper • 2108.07258 • Published • 2 -
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Paper • 2204.07705 • Published • 2