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Collections including paper arxiv:2401.04088
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MambaByte: Token-free Selective State Space Model
Paper • 2401.13660 • Published • 47 -
Medusa: Simple LLM Inference Acceleration Framework with Multiple Decoding Heads
Paper • 2401.10774 • Published • 50 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 135 -
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
Paper • 2401.12954 • Published • 28
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 135 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 19 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 62
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Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Paper • 1701.06538 • Published • 4 -
Sparse Networks from Scratch: Faster Training without Losing Performance
Paper • 1907.04840 • Published • 3 -
ZeRO: Memory Optimizations Toward Training Trillion Parameter Models
Paper • 1910.02054 • Published • 3 -
A Mixture of h-1 Heads is Better than h Heads
Paper • 2005.06537 • Published • 2
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DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 36 -
Mixtral of Experts
Paper • 2401.04088 • Published • 154 -
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
Paper • 2401.02994 • Published • 45 -
LLM Augmented LLMs: Expanding Capabilities through Composition
Paper • 2401.02412 • Published • 35
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LLM in a flash: Efficient Large Language Model Inference with Limited Memory
Paper • 2312.11514 • Published • 255 -
Magicoder: Source Code Is All You Need
Paper • 2312.02120 • Published • 78 -
Mixtral of Experts
Paper • 2401.04088 • Published • 154 -
Chain-of-Thought Reasoning Without Prompting
Paper • 2402.10200 • Published • 91