OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset
Paper
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2402.10176
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Published
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33
Research Papers
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Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models
Paper • 2402.19427 • Published • 50 -
Beyond Language Models: Byte Models are Digital World Simulators
Paper • 2402.19155 • Published • 45 -
Matryoshka Representation Learning
Paper • 2205.13147 • Published • 7 -
PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Paper • 2403.04692 • Published • 35 -
Quiet-STaR: Language Models Can Teach Themselves to Think Before Speaking
Paper • 2403.09629 • Published • 54 -
LLM Agent Operating System
Paper • 2403.16971 • Published • 62 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 101 -
ReFT: Representation Finetuning for Language Models
Paper • 2404.03592 • Published • 73 -
Stream of Search (SoS): Learning to Search in Language
Paper • 2404.03683 • Published • 21 -
Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
Paper • 2404.07143 • Published • 92 -
BLINK: Multimodal Large Language Models Can See but Not Perceive
Paper • 2404.12390 • Published • 23 -
Diffusion for World Modeling: Visual Details Matter in Atari
Paper • 2405.12399 • Published • 25