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Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 20 -
Evaluating Large Language Models Trained on Code
Paper • 2107.03374 • Published • 10 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 24 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 7
Collections
Discover the best community collections!
Collections including paper arxiv:2410.21276
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A Survey of Small Language Models
Paper • 2410.20011 • Published • 46 -
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
Paper • 2410.23168 • Published • 24 -
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Paper • 2410.23743 • Published • 64 -
GPT or BERT: why not both?
Paper • 2410.24159 • Published • 14
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Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 377 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 154 -
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Paper • 2409.12122 • Published • 4 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 217
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Phi-4 Technical Report
Paper • 2412.08905 • Published • 123 -
Evaluating and Aligning CodeLLMs on Human Preference
Paper • 2412.05210 • Published • 48 -
Evaluating Language Models as Synthetic Data Generators
Paper • 2412.03679 • Published • 47 -
Yi-Lightning Technical Report
Paper • 2412.01253 • Published • 28
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FrugalNeRF: Fast Convergence for Few-shot Novel View Synthesis without Learned Priors
Paper • 2410.16271 • Published • 84 -
Baichuan Alignment Technical Report
Paper • 2410.14940 • Published • 51 -
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
Paper • 2410.16268 • Published • 70 -
AutoTrain: No-code training for state-of-the-art models
Paper • 2410.15735 • Published • 59
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LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 34 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 27 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 126 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22
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Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 20 -
Evaluating Large Language Models Trained on Code
Paper • 2107.03374 • Published • 10 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 24 -
GPT-4 Technical Report
Paper • 2303.08774 • Published • 7
-
Phi-4 Technical Report
Paper • 2412.08905 • Published • 123 -
Evaluating and Aligning CodeLLMs on Human Preference
Paper • 2412.05210 • Published • 48 -
Evaluating Language Models as Synthetic Data Generators
Paper • 2412.03679 • Published • 47 -
Yi-Lightning Technical Report
Paper • 2412.01253 • Published • 28
-
A Survey of Small Language Models
Paper • 2410.20011 • Published • 46 -
TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters
Paper • 2410.23168 • Published • 24 -
What Happened in LLMs Layers when Trained for Fast vs. Slow Thinking: A Gradient Perspective
Paper • 2410.23743 • Published • 64 -
GPT or BERT: why not both?
Paper • 2410.24159 • Published • 14
-
FrugalNeRF: Fast Convergence for Few-shot Novel View Synthesis without Learned Priors
Paper • 2410.16271 • Published • 84 -
Baichuan Alignment Technical Report
Paper • 2410.14940 • Published • 51 -
SAM2Long: Enhancing SAM 2 for Long Video Segmentation with a Training-Free Memory Tree
Paper • 2410.16268 • Published • 70 -
AutoTrain: No-code training for state-of-the-art models
Paper • 2410.15735 • Published • 59
-
Qwen2.5 Technical Report
Paper • 2412.15115 • Published • 377 -
Qwen2.5-Coder Technical Report
Paper • 2409.12186 • Published • 154 -
Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement
Paper • 2409.12122 • Published • 4 -
Qwen2.5-VL Technical Report
Paper • 2502.13923 • Published • 217
-
LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 34 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 27 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 126 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22