ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference | Paper Citation Record

Observation a8d18167-a913-4ac9-8e41-3ad25b30b9fc · outbound

This paper cites write newline.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference write newline

Reference 1

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This paper cites @esa (Ref.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference @esa (Ref

Reference 2

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Unresolved cited work

Reference 3

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Unresolved cited work

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This paper cites Longbench: A bilingual, multitask benchmark for long context understanding.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Longbench: A bilingual, multitask benchmark for long context understanding

Reference 5

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This paper cites Longformer: The Long-Document Transformer.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Longformer: The Long-Document Transformer

Reference 7

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This paper cites Transformers to ssms: Distilling quadratic knowledge to subquadratic models.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Transformers to ssms: Distilling quadratic knowledge to subquadratic models

Reference 8

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This paper cites Piqa: Reasoning about physical commonsense in natural language.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Piqa: Reasoning about physical commonsense in natural language

Reference 9

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This paper cites PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling

Reference 10

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This paper cites SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Reference 11

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Observation a67f7d59-ed6d-46f7-953b-5e800d5b977a · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90\ See https://vicuna.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Vicuna: An open-source chatbot impressing gpt-4 with 90\ See https://vicuna

Reference 12

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This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 13

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This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 14

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Observation 2854c181-e0d5-4004-9549-182896572482 · outbound

This paper cites The llama 3 herd of models.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference The llama 3 herd of models

Reference 15

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This paper cites Knowledge Distillation: A Survey.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Knowledge Distillation: A Survey

Reference 16

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This paper cites Measuring massive multitask language understanding.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Measuring massive multitask language understanding

Reference 17

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This paper cites Distilling the Knowledge in a Neural Network.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Distilling the Knowledge in a Neural Network

Reference 18

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This paper cites Minference 1.0: Accelerating pre-filling for long-context llms via dynamic sparse attention.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Minference 1.0: Accelerating pre-filling for long-context llms via dynamic sparse attention

Reference 19

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This paper cites Wise: Weak-supervision-guided step-by-step explanations for multimodal llms in image classification.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Wise: Weak-supervision-guided step-by-step explanations for multimodal llms in image classification

Reference 20

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Unresolved cited work

Reference 21

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This paper cites Sequence-level knowledge distillation.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Sequence-level knowledge distillation

Reference 22

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference MiniMax-01: Scaling Foundation Models with Lightning Attention

Reference 23

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This paper cites Snapkv: LLM knows what you are looking for before generation.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Snapkv: LLM knows what you are looking for before generation

Reference 24

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This paper cites RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval

Reference 25

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Fineweb-edu: the finest collection of educational content, 2024

Reference 26

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference MoBA: Mixture of Block Attention for Long-Context LLMs

Reference 27

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Linearizing Large Language Models

Reference 28

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Llama 3 model card

Reference 29

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This paper cites Can a suit of armor conduct electricity? A new dataset for open book question answering.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Can a suit of armor conduct electricity? A new dataset for open book question answering

Reference 30

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Instruction Tuning with GPT-4

Reference 31

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference RWKV: Reinventing RNNs for the Transformer Era

Reference 32

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Eagle and Finch: RWKV with Matrix-Valued States and Dynamic Recurrence

Reference 33

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Compressive Transformers for Long-Range Sequence Modelling

Reference 34

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Policy Distillation

Reference 35

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference P y SBD : Pragmatic sentence boundary disambiguation

Reference 36

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Winogrande: An adversarial winograd schema challenge at scale

Reference 37

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Reference 38

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Social iqa: Commonsense reasoning about social interactions

Reference 39

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Instruction-Tuning LLMs for Event Extraction with Annotation Guidelines

Reference 40

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Retentive Network: A Successor to Transformer for Large Language Models

Reference 41

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This paper cites Commonsenseqa: A question answering challenge targeting commonsense knowledge.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Commonsenseqa: A question answering challenge targeting commonsense knowledge

Reference 42

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference

Reference 43

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This paper cites Stanford alpaca: An instruction-following llama model, 2023.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Stanford alpaca: An instruction-following llama model, 2023

Reference 44

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Qwen2.5: A party of foundation models, September 2024

Reference 45

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Attention is all you need

Reference 46

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This paper cites Unshackling Context Length: An Efficient Selective Attention Approach through Query-Key Compression.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Unshackling Context Length: An Efficient Selective Attention Approach through Query-Key Compression

Reference 47

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference The mamba in the llama: Distilling and accelerating hybrid models

Reference 48

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This paper cites Liu, and Matt Gardner.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Liu, and Matt Gardner

Reference 49

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Efficient streaming language models with attention sinks

Reference 50

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Pyramidinfer: Pyramid KV cache compression for high-throughput LLM inference

Reference 51

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This paper cites Native sparse attention: Hardware-aligned and natively trainable sparse attention.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Native sparse attention: Hardware-aligned and natively trainable sparse attention

Reference 52

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This paper cites Hellaswag: Can a machine really finish your sentence? In Anna Korhonen, David R.

ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Hellaswag: Can a machine really finish your sentence? In Anna Korhonen, David R

Reference 53

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Event temporal relation extraction based on retrieval-augmented on llms

Reference 54

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ChunkLLM: A Lightweight Pluggable Framework for Accelerating LLMs Inference Barrett, Zhangyang Wang, and Beidi Chen

Reference 55

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