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Latest Research Papers
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Scaling Laws for Multimodal Foundation Models
FlashAttention-3: Fast Exact Attention with IO-Awareness
Constitutional AI: Harmlessness from AI Feedback
Direct Preference Optimization: Your LM is Secretly a Reward Model
Retrieval-Augmented Generation for Knowledge-Intensive Tasks
Chain-of-Thought Reasoning Without Prompting
Vision Transformers Need Registers
Mixture-of-Experts Meets Instruction Tuning
Scaling Laws for Multimodal Foundation Models
FlashAttention-3: Fast Exact Attention with IO-Awareness
Constitutional AI: Harmlessness from AI Feedback
Direct Preference Optimization: Your LM is Secretly a Reward Model
Retrieval-Augmented Generation for Knowledge-Intensive Tasks
Chain-of-Thought Reasoning Without Prompting
Vision Transformers Need Registers
Mixture-of-Experts Meets Instruction Tuning
Gemini: A Family of Highly Capable Multimodal Models
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Ring Attention with Blockwise Transformers for Near-Infinite Context
Stable Diffusion 3: Scaling Rectified Flow Transformers
KAN: Kolmogorov-Arnold Networks
Generative Agents: Interactive Simulacra of Human Behavior
RLHF: Training Language Models to Follow Instructions
Segment Anything Model 2: Real-Time Object Segmentation
Gemini: A Family of Highly Capable Multimodal Models
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Ring Attention with Blockwise Transformers for Near-Infinite Context
Stable Diffusion 3: Scaling Rectified Flow Transformers
KAN: Kolmogorov-Arnold Networks
Generative Agents: Interactive Simulacra of Human Behavior
RLHF: Training Language Models to Follow Instructions
Segment Anything Model 2: Real-Time Object Segmentation
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