Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity GPT-4 Technical Report

Reference 1

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This paper cites GQA : Training generalized multi-query transformer models from multi-head checkpoints.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity GQA : Training generalized multi-query transformer models from multi-head checkpoints

Reference 2

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This paper cites L -eval: Instituting standardized evaluation for long context language models.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity L -eval: Instituting standardized evaluation for long context language models

Reference 3

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity L ong B ench: A bilingual, multitask benchmark for long context understanding

Reference 4

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Codeplan: Repository-level coding using llms and planning

Reference 5

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This paper cites Longformer: The Long-Document Transformer.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Longformer: The Long-Document Transformer

Reference 6

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This paper cites Leveraging redundancy in attention with Reuse Transformers.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Leveraging redundancy in attention with Reuse Transformers

Reference 7

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This paper cites Reducing Transformer Key-Value Cache Size with Cross-Layer Attention.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Reducing Transformer Key-Value Cache Size with Cross-Layer Attention

Reference 8

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Unresolved cited work

Reference 9

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This paper cites The Llama 3 Herd of Models.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity The Llama 3 Herd of Models

Reference 10

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This paper cites LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference

Reference 11

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This paper cites Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis

Reference 12

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This paper cites How to train long-context language models (effectively), 2024.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity How to train long-context language models (effectively), 2024

Reference 13

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This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 14

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity LM -infinite: Zero-shot extreme length generalization for large language models

Reference 15

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Reference 16

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This paper cites MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

Reference 17

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This paper cites L ong LLML ingua: Accelerating and enhancing LLM s in long context scenarios via prompt compression.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity L ong LLML ingua: Accelerating and enhancing LLM s in long context scenarios via prompt compression

Reference 18

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This paper cites Compressing context to enhance inference efficiency of large language models.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Compressing context to enhance inference efficiency of large language models

Reference 19

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This paper cites SnapKV: LLM Knows What You are Looking for Before Generation.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity SnapKV: LLM Knows What You are Looking for Before Generation

Reference 20

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Awq: Activation-aware weight quantization for on-device llm compression and acceleration

Reference 21

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 22

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity MiniCache: KV Cache Compression in Depth Dimension for Large Language Models

Reference 23

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Reference 24

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity QLLM : Accurate and efficient low-bitwidth quantization for large language models

Reference 25

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This paper cites and Liu, B.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity and Liu, B

Reference 26

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity The jensen-shannon divergence

Reference 27

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This paper cites V., Qiu, L., and Zhang, D.

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity V., Qiu, L., and Zhang, D

Reference 28

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Pytorch: An imperative style, high-performance deep learning library

Reference 29

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Efficiently scaling transformer inference

Reference 30

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Zero: memory optimizations toward training trillion parameter models

Reference 31

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Deepspeed: System optimizations enable training deep learning models with over 100 billion parameters

Reference 32

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 33

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Fast Transformer Decoding: One Write-Head is All You Need

Reference 34

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Flexgen: high-throughput generative inference of large language models with a single gpu

Reference 35

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Dolma: an open corpus of three trillion tokens for language model pretraining research

Reference 36

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity RoFormer: Enhanced Transformer with Rotary Position Embedding

Reference 37

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity QUEST : Query-aware sparsity for efficient long-context LLM inference

Reference 38

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Gemini: A Family of Highly Capable Multimodal Models

Reference 39

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity LLaMA: Open and Efficient Foundation Language Models

Reference 40

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 41

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity N., Kaiser, L

Reference 42

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Transformers: State-of-the-art natural language processing

Reference 43

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity and Tu, K

Reference 44

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Efficient streaming language models with attention sinks

Reference 45

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity Sharing attention weights for fast transformer

Reference 46

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity A., Oguz, B., Khabsa, M., Fang, H., Mehdad, Y., Narang, S., Malik, K., Fan, A., Bhosale, S., Edunov, S., Lewis, M., Wang, S., and Ma, H

Reference 47

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity B ench: Extending long context evaluation beyond 100 K tokens

Reference 48

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling

Reference 49

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity H2o: Heavy-hitter oracle for efficient generative inference of large language models

Reference 50

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Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity write newline

Reference 51

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