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DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
Paper • 2310.16818 • Published • 33 -
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 56 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 62 -
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Paper • 2401.14196 • Published • 73
Collections
Discover the best community collections!
Collections including paper arxiv:2501.12948
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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 86 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
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Kronos: A Foundation Model for the Language of Financial Markets
Paper • 2508.02739 • Published • 39 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 276 -
Context Engineering 2.0: The Context of Context Engineering
Paper • 2510.26493 • Published • 9 -
Kosmos: An AI Scientist for Autonomous Discovery
Paper • 2511.02824 • Published • 8
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QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
Paper • 2602.07085 • Published • 190 -
Seriki/FastHTML
Updated • 3 • 1 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 452 -
AI Can Learn Scientific Taste
Paper • 2603.14473 • Published • 429
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DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
Paper • 2511.22570 • Published • 95 -
DeepSeek-OCR: Contexts Optical Compression
Paper • 2510.18234 • Published • 94 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 452 -
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures
Paper • 2505.09343 • Published • 77
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 31 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24
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LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 61 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 15 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 15 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 24
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VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
Paper • 2602.10693 • Published • 221 -
Reinforced Attention Learning
Paper • 2602.04884 • Published • 30 -
Learning to Reason in 13 Parameters
Paper • 2602.04118 • Published • 6 -
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
Paper • 2405.17604 • Published • 3
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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
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A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
Paper • 2309.06497 • Published • 7 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 630 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 252
-
DreamCraft3D: Hierarchical 3D Generation with Bootstrapped Diffusion Prior
Paper • 2310.16818 • Published • 33 -
DeepSeek LLM: Scaling Open-Source Language Models with Longtermism
Paper • 2401.02954 • Published • 56 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 62 -
DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence
Paper • 2401.14196 • Published • 73
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 31 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 45 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 24
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 24 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 86 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 156 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
LoRA: Low-Rank Adaptation of Large Language Models
Paper • 2106.09685 • Published • 61 -
FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness
Paper • 2205.14135 • Published • 15 -
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Paper • 2201.11903 • Published • 15 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 24
-
Kronos: A Foundation Model for the Language of Financial Markets
Paper • 2508.02739 • Published • 39 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 276 -
Context Engineering 2.0: The Context of Context Engineering
Paper • 2510.26493 • Published • 9 -
Kosmos: An AI Scientist for Autonomous Discovery
Paper • 2511.02824 • Published • 8
-
VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
Paper • 2602.10693 • Published • 221 -
Reinforced Attention Learning
Paper • 2602.04884 • Published • 30 -
Learning to Reason in 13 Parameters
Paper • 2602.04118 • Published • 6 -
LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
Paper • 2405.17604 • Published • 3
-
QuantaAlpha: An Evolutionary Framework for LLM-Driven Alpha Mining
Paper • 2602.07085 • Published • 190 -
Seriki/FastHTML
Updated • 3 • 1 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 452 -
AI Can Learn Scientific Taste
Paper • 2603.14473 • Published • 429
-
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
-
DeepSeekMath-V2: Towards Self-Verifiable Mathematical Reasoning
Paper • 2511.22570 • Published • 95 -
DeepSeek-OCR: Contexts Optical Compression
Paper • 2510.18234 • Published • 94 -
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
Paper • 2501.12948 • Published • 452 -
Insights into DeepSeek-V3: Scaling Challenges and Reflections on Hardware for AI Architectures
Paper • 2505.09343 • Published • 77
-
A Distributed Data-Parallel PyTorch Implementation of the Distributed Shampoo Optimizer for Training Neural Networks At-Scale
Paper • 2309.06497 • Published • 7 -
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 630 -
Llama 2: Open Foundation and Fine-Tuned Chat Models
Paper • 2307.09288 • Published • 252