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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 592 -
Layer Skip: Enabling Early Exit Inference and Self-Speculative Decoding
Paper • 2404.16710 • Published • 57 -
Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory
Paper • 2405.08707 • Published • 27 -
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
Paper • 2308.06744 • Published • 1
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Collections including paper arxiv:2404.16710
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MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training
Paper • 2311.17049 • Published -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 13 -
A Study of Autoregressive Decoders for Multi-Tasking in Computer Vision
Paper • 2303.17376 • Published -
Sigmoid Loss for Language Image Pre-Training
Paper • 2303.15343 • Published • 4
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Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting
Paper • 2404.18911 • Published • 29 -
Accelerating LLM Inference with Staged Speculative Decoding
Paper • 2308.04623 • Published • 23 -
An Emulator for Fine-Tuning Large Language Models using Small Language Models
Paper • 2310.12962 • Published • 14 -
The Curious Case of Neural Text Degeneration
Paper • 1904.09751 • Published • 3
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The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
Paper • 2402.17764 • Published • 592 -
BitNet: Scaling 1-bit Transformers for Large Language Models
Paper • 2310.11453 • Published • 96 -
Mixture-of-Depths: Dynamically allocating compute in transformer-based language models
Paper • 2404.02258 • Published • 104 -
TransformerFAM: Feedback attention is working memory
Paper • 2404.09173 • Published • 43
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Unleashing the Power of Pre-trained Language Models for Offline Reinforcement Learning
Paper • 2310.20587 • Published • 16 -
JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention
Paper • 2310.00535 • Published • 2 -
Does Circuit Analysis Interpretability Scale? Evidence from Multiple Choice Capabilities in Chinchilla
Paper • 2307.09458 • Published • 10 -
The Impact of Depth and Width on Transformer Language Model Generalization
Paper • 2310.19956 • Published • 9
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Accelerating LLM Inference with Staged Speculative Decoding
Paper • 2308.04623 • Published • 23 -
An Emulator for Fine-Tuning Large Language Models using Small Language Models
Paper • 2310.12962 • Published • 14 -
The Curious Case of Neural Text Degeneration
Paper • 1904.09751 • Published • 3 -
On Speculative Decoding for Multimodal Large Language Models
Paper • 2404.08856 • Published • 13
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Dynamic Memory Compression: Retrofitting LLMs for Accelerated Inference
Paper • 2403.09636 • Published • 2 -
TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
Paper • 2404.11912 • Published • 16 -
Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache
Paper • 2401.02669 • Published • 14 -
Layer Skip: Enabling Early Exit Inference and Self-Speculative Decoding
Paper • 2404.16710 • Published • 57