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Collections including paper arxiv:2311.04934
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STaR: Bootstrapping Reasoning With Reasoning
Paper • 2203.14465 • Published • 5 -
DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Paper • 2401.06066 • Published • 42 -
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
Paper • 2405.04434 • Published • 13 -
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Paper • 2311.04934 • Published • 28
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Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Paper • 2311.04934 • Published • 28 -
I2VEdit: First-Frame-Guided Video Editing via Image-to-Video Diffusion Models
Paper • 2405.16537 • Published • 15 -
NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models
Paper • 2405.17428 • Published • 17
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Self-Rewarding Language Models
Paper • 2401.10020 • Published • 143 -
ReFT: Reasoning with Reinforced Fine-Tuning
Paper • 2401.08967 • Published • 27 -
Tuning Language Models by Proxy
Paper • 2401.08565 • Published • 20 -
TrustLLM: Trustworthiness in Large Language Models
Paper • 2401.05561 • Published • 64
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FlashDecoding++: Faster Large Language Model Inference on GPUs
Paper • 2311.01282 • Published • 35 -
Co-training and Co-distillation for Quality Improvement and Compression of Language Models
Paper • 2311.02849 • Published • 3 -
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Paper • 2311.04934 • Published • 28 -
Exponentially Faster Language Modelling
Paper • 2311.10770 • Published • 118
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Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Paper • 2311.04934 • Published • 28 -
Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models
Paper • 2311.08692 • Published • 12 -
Exponentially Faster Language Modelling
Paper • 2311.10770 • Published • 118 -
Memory Augmented Language Models through Mixture of Word Experts
Paper • 2311.10768 • Published • 16
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Detecting Pretraining Data from Large Language Models
Paper • 2310.16789 • Published • 10 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 18 -
AutoMix: Automatically Mixing Language Models
Paper • 2310.12963 • Published • 14 -
An Emulator for Fine-Tuning Large Language Models using Small Language Models
Paper • 2310.12962 • Published • 14
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S^{3}: Increasing GPU Utilization during Generative Inference for Higher Throughput
Paper • 2306.06000 • Published • 1 -
Fast Distributed Inference Serving for Large Language Models
Paper • 2305.05920 • Published • 1 -
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline
Paper • 2305.13144 • Published • 1 -
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference
Paper • 2303.06182 • Published • 1