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Collections including paper arxiv:2402.07033

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

Paper • 2402.19427 • Published Feb 29 • 52
Simple linear attention language models balance the recall-throughput tradeoff

Paper • 2402.18668 • Published Feb 28 • 18
ChunkAttention: Efficient Self-Attention with Prefix-Aware KV Cache and Two-Phase Partition

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

Paper • 2402.14180 • Published Feb 21 • 6

Self-Rewarding Language Models

Paper • 2401.10020 • Published Jan 18 • 140
ReFT: Reasoning with Reinforced Fine-Tuning

Paper • 2401.08967 • Published Jan 17 • 27
Tuning Language Models by Proxy

Paper • 2401.08565 • Published Jan 16 • 20
TrustLLM: Trustworthiness in Large Language Models

Paper • 2401.05561 • Published Jan 10 • 63

DocLLM: A layout-aware generative language model for multimodal document understanding

Paper • 2401.00908 • Published Dec 31, 2023 • 177
Lightning Attention-2: A Free Lunch for Handling Unlimited Sequence Lengths in Large Language Models

Paper • 2401.04658 • Published Jan 9 • 24
Weaver: Foundation Models for Creative Writing

Paper • 2401.17268 • Published Jan 30 • 41
Efficient Tool Use with Chain-of-Abstraction Reasoning

Paper • 2401.17464 • Published Jan 30 • 16

Parameter-Efficient Transfer Learning of Audio Spectrogram Transformers

Paper • 2312.03694 • Published Dec 6, 2023 • 2
FaceStudio: Put Your Face Everywhere in Seconds

Paper • 2312.02663 • Published Dec 5, 2023 • 30
Fiddler: CPU-GPU Orchestration for Fast Inference of Mixture-of-Experts Models

Paper • 2402.07033 • Published Feb 10 • 16
GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Paper • 2403.03507 • Published Mar 6 • 182

Inference speed

FlashDecoding++: Faster Large Language Model Inference on GPUs

Paper • 2311.01282 • Published Nov 2, 2023 • 35
Co-training and Co-distillation for Quality Improvement and Compression of Language Models

Paper • 2311.02849 • Published Nov 6, 2023 • 3
Prompt Cache: Modular Attention Reuse for Low-Latency Inference

Paper • 2311.04934 • Published Nov 7, 2023 • 27
Exponentially Faster Language Modelling

Paper • 2311.10770 • Published Nov 15, 2023 • 118

Efficient LLM Inference on CPUs

Paper • 2311.00502 • Published Nov 1, 2023 • 7
Exponentially Faster Language Modelling

Paper • 2311.10770 • Published Nov 15, 2023 • 118
Cached Transformers: Improving Transformers with Differentiable Memory Cache

Paper • 2312.12742 • Published Dec 20, 2023 • 12
LLM in a flash: Efficient Large Language Model Inference with Limited Memory

Paper • 2312.11514 • Published Dec 12, 2023 • 256

S^{3}: Increasing GPU Utilization during Generative Inference for Higher Throughput

Paper • 2306.06000 • Published Jun 9, 2023 • 1
Fast Distributed Inference Serving for Large Language Models

Paper • 2305.05920 • Published May 10, 2023 • 1
Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline

Paper • 2305.13144 • Published May 22, 2023 • 1
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference

Paper • 2303.06182 • Published Mar 10, 2023 • 1

QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models

Paper • 2310.16795 • Published Oct 25, 2023 • 26
Pre-gated MoE: An Algorithm-System Co-Design for Fast and Scalable Mixture-of-Expert Inference

Paper • 2308.12066 • Published Aug 23, 2023 • 4
Towards MoE Deployment: Mitigating Inefficiencies in Mixture-of-Expert (MoE) Inference

Paper • 2303.06182 • Published Mar 10, 2023 • 1
EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate

Paper • 2112.14397 • Published Dec 29, 2021 • 1

The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits

Paper • 2402.17764 • Published Feb 27 • 589
Mixtral of Experts

Paper • 2401.04088 • Published Jan 8 • 157
Mistral 7B

Paper • 2310.06825 • Published Oct 10, 2023 • 47
Don't Make Your LLM an Evaluation Benchmark Cheater

Paper • 2311.01964 • Published Nov 3, 2023 • 1

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