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Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 17 -
Large Language Models Are Human-Level Prompt Engineers
Paper • 2211.01910 • Published • 1 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 42 -
Large Language Models are Zero-Shot Reasoners
Paper • 2205.11916 • Published • 3
Collections
Discover the best community collections!
Collections including paper arxiv:2411.15124
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Learning to Reason without External Rewards
Paper • 2505.19590 • Published • 29 -
Scalable Best-of-N Selection for Large Language Models via Self-Certainty
Paper • 2502.18581 • Published -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 89 -
Fractured Chain-of-Thought Reasoning
Paper • 2505.12992 • Published • 23
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2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 52 -
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Paper • 2501.01423 • Published • 43 -
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents
Paper • 2411.13552 • Published
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Video Creation by Demonstration
Paper • 2412.09551 • Published • 9 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 48 -
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation
Paper • 2412.06531 • Published • 72 -
APOLLO: SGD-like Memory, AdamW-level Performance
Paper • 2412.05270 • Published • 38
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Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
Paper • 2411.11504 • Published • 23 -
Top-nσ: Not All Logits Are You Need
Paper • 2411.07641 • Published • 23 -
Adaptive Decoding via Latent Preference Optimization
Paper • 2411.09661 • Published • 10 -
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
Paper • 2411.13476 • Published • 16
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Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Paper • 2406.08464 • Published • 71 -
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Paper • 2406.20094 • Published • 104 -
argilla/magpie-ultra-v1.0
Viewer • Updated • 3.22M • 326 • 49 -
simplescaling/s1K-1.1
Viewer • Updated • 1k • 1.49k • 139
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HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Paper • 2411.02959 • Published • 70 -
GarVerseLOD: High-Fidelity 3D Garment Reconstruction from a Single In-the-Wild Image using a Dataset with Levels of Details
Paper • 2411.03047 • Published • 9 -
MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D
Paper • 2411.02336 • Published • 24 -
GenXD: Generating Any 3D and 4D Scenes
Paper • 2411.02319 • Published • 20
-
Language Models are Few-Shot Learners
Paper • 2005.14165 • Published • 17 -
Large Language Models Are Human-Level Prompt Engineers
Paper • 2211.01910 • Published • 1 -
Lost in the Middle: How Language Models Use Long Contexts
Paper • 2307.03172 • Published • 42 -
Large Language Models are Zero-Shot Reasoners
Paper • 2205.11916 • Published • 3
-
Learning to Reason without External Rewards
Paper • 2505.19590 • Published • 29 -
Scalable Best-of-N Selection for Large Language Models via Self-Certainty
Paper • 2502.18581 • Published -
Training Large Language Models to Reason in a Continuous Latent Space
Paper • 2412.06769 • Published • 89 -
Fractured Chain-of-Thought Reasoning
Paper • 2505.12992 • Published • 23
-
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Paper • 2406.08464 • Published • 71 -
Scaling Synthetic Data Creation with 1,000,000,000 Personas
Paper • 2406.20094 • Published • 104 -
argilla/magpie-ultra-v1.0
Viewer • Updated • 3.22M • 326 • 49 -
simplescaling/s1K-1.1
Viewer • Updated • 1k • 1.49k • 139
-
2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining
Paper • 2501.00958 • Published • 107 -
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Paper • 2501.01257 • Published • 52 -
Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models
Paper • 2501.01423 • Published • 43 -
REDUCIO! Generating 1024times1024 Video within 16 Seconds using Extremely Compressed Motion Latents
Paper • 2411.13552 • Published
-
Video Creation by Demonstration
Paper • 2412.09551 • Published • 9 -
DiffSensei: Bridging Multi-Modal LLMs and Diffusion Models for Customized Manga Generation
Paper • 2412.07589 • Published • 48 -
Unraveling the Complexity of Memory in RL Agents: an Approach for Classification and Evaluation
Paper • 2412.06531 • Published • 72 -
APOLLO: SGD-like Memory, AdamW-level Performance
Paper • 2412.05270 • Published • 38
-
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
Paper • 2411.11504 • Published • 23 -
Top-nσ: Not All Logits Are You Need
Paper • 2411.07641 • Published • 23 -
Adaptive Decoding via Latent Preference Optimization
Paper • 2411.09661 • Published • 10 -
When Precision Meets Position: BFloat16 Breaks Down RoPE in Long-Context Training
Paper • 2411.13476 • Published • 16
-
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Paper • 2411.02959 • Published • 70 -
GarVerseLOD: High-Fidelity 3D Garment Reconstruction from a Single In-the-Wild Image using a Dataset with Levels of Details
Paper • 2411.03047 • Published • 9 -
MVPaint: Synchronized Multi-View Diffusion for Painting Anything 3D
Paper • 2411.02336 • Published • 24 -
GenXD: Generating Any 3D and 4D Scenes
Paper • 2411.02319 • Published • 20