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Kangaroo: Lossless Self-Speculative Decoding via Double Early Exiting
Paper • 2404.18911 • Published • 30 -
Accelerating LLM Inference with Staged Speculative Decoding
Paper • 2308.04623 • Published • 25 -
An Emulator for Fine-Tuning Large Language Models using Small Language Models
Paper • 2310.12962 • Published • 13 -
The Curious Case of Neural Text Degeneration
Paper • 1904.09751 • Published • 3
Collections
Discover the best community collections!
Collections including paper arxiv:2404.11912
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XC-Cache: Cross-Attending to Cached Context for Efficient LLM Inference
Paper • 2404.15420 • Published • 8 -
OpenELM: An Efficient Language Model Family with Open-source Training and Inference Framework
Paper • 2404.14619 • Published • 127 -
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone
Paper • 2404.14219 • Published • 256 -
How Good Are Low-bit Quantized LLaMA3 Models? An Empirical Study
Paper • 2404.14047 • Published • 45
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TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding
Paper • 2404.11912 • Published • 17 -
SnapKV: LLM Knows What You are Looking for Before Generation
Paper • 2404.14469 • Published • 24 -
LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Paper • 2312.11514 • Published • 259 -
An Evolved Universal Transformer Memory
Paper • 2410.13166 • Published • 3
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Can large language models explore in-context?
Paper • 2403.15371 • Published • 32 -
Long-context LLMs Struggle with Long In-context Learning
Paper • 2404.02060 • Published • 36 -
PIQA: Reasoning about Physical Commonsense in Natural Language
Paper • 1911.11641 • Published • 2 -
AQuA: A Benchmarking Tool for Label Quality Assessment
Paper • 2306.09467 • Published • 1