Collection by 
Mar 17, 2025
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Discover the best community collections!
Collections including paper arxiv:2404.07965
Collection by 
Dec 5, 2024
Collection by 
Oct 8, 2024
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Associative Recurrent Memory Transformer
Paper • 2407.04841 • Published • 35 -
Mixture-of-Agents Enhances Large Language Model Capabilities
Paper • 2406.04692 • Published • 59 -
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Paper • 2405.21060 • Published • 68 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 259
Collection by 
Apr 20, 2024
Collection by 
Feb 15, 2025
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Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 94 -
Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems
Paper • 2408.16293 • Published • 27 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 145
Collection by 
Mar 6, 2025
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Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Paper • 2412.15213 • Published • 28 -
No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 43 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 163 -
Autoregressive Video Generation without Vector Quantization
Paper • 2412.14169 • Published • 14
Collection by 
Oct 8, 2024
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Addition is All You Need for Energy-efficient Language Models
Paper • 2410.00907 • Published • 151 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 98 -
An accurate detection is not all you need to combat label noise in web-noisy datasets
Paper • 2407.05528 • Published • 4 -
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
Paper • 2407.00402 • Published • 22
Collection by 
Sep 26, 2025
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Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 94 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 24 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 26 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 32
Collection by 
Apr 17, 2024
Collection by Apr 14, 2024
Collection by Mar 17, 2025
Collection by Mar 6, 2025
-
Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Paper • 2412.15213 • Published • 28 -
No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 43 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 163 -
Autoregressive Video Generation without Vector Quantization
Paper • 2412.14169 • Published • 14
Collection by Dec 5, 2024
Collection by Oct 8, 2024
-
Addition is All You Need for Energy-efficient Language Models
Paper • 2410.00907 • Published • 151 -
Emu3: Next-Token Prediction is All You Need
Paper • 2409.18869 • Published • 98 -
An accurate detection is not all you need to combat label noise in web-noisy datasets
Paper • 2407.05528 • Published • 4 -
Is It Really Long Context if All You Need Is Retrieval? Towards Genuinely Difficult Long Context NLP
Paper • 2407.00402 • Published • 22
Collection by Oct 8, 2024
-
Associative Recurrent Memory Transformer
Paper • 2407.04841 • Published • 35 -
Mixture-of-Agents Enhances Large Language Model Capabilities
Paper • 2406.04692 • Published • 59 -
Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality
Paper • 2405.21060 • Published • 68 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 259
Collection by Sep 26, 2025
-
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 94 -
VASA-1: Lifelike Audio-Driven Talking Faces Generated in Real Time
Paper • 2404.10667 • Published • 24 -
Instruction-tuned Language Models are Better Knowledge Learners
Paper • 2402.12847 • Published • 26 -
DoRA: Weight-Decomposed Low-Rank Adaptation
Paper • 2402.09353 • Published • 32
Collection by Apr 20, 2024
Collection by Apr 17, 2024
Collection by Feb 15, 2025
-
Rho-1: Not All Tokens Are What You Need
Paper • 2404.07965 • Published • 94 -
Physics of Language Models: Part 2.2, How to Learn From Mistakes on Grade-School Math Problems
Paper • 2408.16293 • Published • 27 -
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Paper • 2402.03300 • Published • 145
Collection by Apr 14, 2024