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Discover the best community collections!

Collections including paper arxiv:2402.01739

BlackMamba: Mixture of Experts for State-Space Models

Paper • 2402.01771 • Published Feb 1, 2024 • 24
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Paper • 2402.01739 • Published Jan 29, 2024 • 27
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11, 2024 • 45

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Paper • 2402.01739 • Published Jan 29, 2024 • 27

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Paper • 2402.01739 • Published Jan 29, 2024 • 27

OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 83
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Paper • 2402.01739 • Published Jan 29, 2024 • 27
LLM Agent Operating System

Paper • 2403.16971 • Published Mar 25, 2024 • 65
Poro 34B and the Blessing of Multilinguality

Paper • 2404.01856 • Published Apr 2, 2024 • 13

AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning

Paper • 2402.00769 • Published Feb 1, 2024 • 22
LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

Paper • 2311.05556 • Published Nov 9, 2023 • 82
LongAlign: A Recipe for Long Context Alignment of Large Language Models

Paper • 2401.18058 • Published Jan 31, 2024 • 20
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 17

My (Denis Gordeev) collection of mostly NLP papers. You can message me at t.me/nlp_party

LongAlign: A Recipe for Long Context Alignment of Large Language Models

Paper • 2401.18058 • Published Jan 31, 2024 • 20
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30, 2024 • 17
Scavenging Hyena: Distilling Transformers into Long Convolution Models

Paper • 2401.17574 • Published Jan 31, 2024 • 15
Rethinking Interpretability in the Era of Large Language Models

Paper • 2402.01761 • Published Jan 30, 2024 • 23

Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models

Paper • 2402.19427 • Published Feb 29, 2024 • 53
Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28, 2024 • 19
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

Paper • 2402.15220 • Published Feb 23, 2024 • 19
Linear Transformers are Versatile In-Context Learners

Paper • 2402.14180 • Published Feb 21, 2024 • 6

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Paper • 2305.18290 • Published May 29, 2023 • 52
OLMo: Accelerating the Science of Language Models

Paper • 2402.00838 • Published Feb 1, 2024 • 83
OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

Paper • 2402.01739 • Published Jan 29, 2024 • 27

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18, 2024 • 146
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17, 2024 • 30
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16, 2024 • 21
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10, 2024 • 66

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Paper • 2401.06066 • Published Jan 11, 2024 • 45
Mixtral of Experts

Paper • 2401.04088 • Published Jan 8, 2024 • 158
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM

Paper • 2401.02994 • Published Jan 4, 2024 • 49
LLM Augmented LLMs: Expanding Capabilities through Composition

Paper • 2401.02412 • Published Jan 4, 2024 • 36

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