Paper Citation Record · LEDGER

freePruner: A Training-free Approach for Large Multimodal Model Acceleration

As of 14 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 2 inbound Pith citation observations for arXiv:2411.15446.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.15446 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:22:07.588062Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T11:13:49.266859Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T08:39:42.103464Z

Reference resolution

71 of 71 outbound references displayed

verified exact0
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External citation measurements

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Outbound references

Observation 0bf8cc7b-aef2-44f2-8218-fcf49d0fdabc · outbound

This paper cites an unresolved cited work.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T14:22:08.571993Z

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Observation abdf8b63-4d22-460d-bcb1-b5c954637d88 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Flamingo: a visual language model for few-shot learning

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:08.560911Z

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Observation 3d577f78-9146-49a3-aeae-4adfa1ab8f47 · outbound

This paper cites Layer Normalization.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Layer Normalization

Reference 3

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Observation 0326bd57-e697-4c4b-bfe5-2104572df3e2 · outbound

This paper cites Qwen Technical Report.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Qwen Technical Report

Reference 4

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Observation b6db6cf9-786f-4ee5-a678-9d924c6bd95e · outbound

This paper cites PaliGemma: A versatile 3B VLM for transfer.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration PaliGemma: A versatile 3B VLM for transfer

Reference 5

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Observation ce2c7d07-4aca-4899-8e92-a11e61b24411 · outbound

This paper cites Token merging: Your ViT but faster.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Token merging: Your ViT but faster

Reference 6

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Observation 1c0a72b2-efe8-42ca-ad5b-f5f609303266 · outbound

This paper cites Meyer, Yuning Chai, Dennis Park, and Yong Jae Lee.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Meyer, Yuning Chai, Dennis Park, and Yong Jae Lee

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:08.539409Z

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Observation 64805e46-cd9c-4acb-baf9-689c2a0d3f80 · outbound

This paper cites Coarse-to-fine sparse transformer for hyperspectral image re- construction.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Coarse-to-fine sparse transformer for hyperspectral image re- construction

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:08.529873Z

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Observation 80399462-c7f5-468c-adc6-b63e847fe2c1 · outbound

This paper cites Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic

Reference 9

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Observation b68c2bbd-3911-4d4f-b479-955692a474c8 · outbound

This paper cites Internvl2: Better than the best—expanding performance boundaries of open-source multimodal models with the progressive scaling strategy,.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Internvl2: Better than the best—expanding performance boundaries of open-source multimodal models with the progressive scaling strategy,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:07.308933Z

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Observation 5ad0558b-07f1-4407-a7fc-a158750c5ae9 · outbound

This paper cites MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:07.312540Z

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Observation e85f311e-11d9-4e87-a90e-63cb0bb8ba69 · outbound

This paper cites MobileVLM V2: Faster and Stronger Baseline for Vision Language Model.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration MobileVLM V2: Faster and Stronger Baseline for Vision Language Model

Reference 12

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Observation e3a5527c-b1a9-48e8-b98f-9df3918f72c7 · outbound

This paper cites Instructblip: Towards general- purpose vision-language models with instruction tuning,.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Instructblip: Towards general- purpose vision-language models with instruction tuning,

Reference 13

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Observation e5bcd0ac-4bc6-4fd6-8e20-3449357ecd1a · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Qlora: Efficient finetuning of quantized llms

Reference 14

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Observation ee4ab44e-d5f6-4638-89ab-6e486774c4af · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

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Observation ebf6327e-36bd-4bf9-82af-e35279d4fa7c · outbound

This paper cites Adaptive token sampling for efficient vision transformers.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Adaptive token sampling for efficient vision transformers

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:08.494221Z

Source-reported events for the cited work

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Observation 183a75b9-1672-4838-9a7d-52bcb7aa8c99 · outbound

This paper cites GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

Reference 17

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Source-reported events for the cited work

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Observation 6d24d7c2-f79c-4533-8b75-8c4fb9b88dac · outbound

This paper cites MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-12T14:22:07.338146Z

Source-reported events for the cited work

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Observation 1cda67c1-684a-4841-a613-afe8ad88f4e2 · outbound

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

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Challenges in Deploying Long-Context Transformers: A Theoretical Peak Performance Analysis

Reference 19

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Observation 36ae0581-7f6b-4d91-929c-9ba16718ecd4 · outbound

This paper cites Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Making the v in vqa matter: Elevating the role of image understanding in visual question answer- ing

Reference 20

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Observation d82f2e2c-0521-45a0-a0a2-0489fb7499ae · outbound

This paper cites Which tokens to use? investi- gating token reduction in vision transformers.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Which tokens to use? investi- gating token reduction in vision transformers

Reference 21

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Observation 4684aa1d-a075-4eac-9431-a8866dde8d17 · outbound

This paper cites 3d-llm: Inject- ing the 3d world into large language models.NeurIPS, 2023.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration 3d-llm: Inject- ing the 3d world into large language models.NeurIPS, 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:08.467104Z

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Observation 75edc326-98be-410d-9c02-c15bde83314b · outbound

This paper cites Mistral 7B.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Mistral 7B

Reference 23

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Observation e1fd311e-914b-42da-8b66-56ef207a95a6 · outbound

This paper cites Efficient multimodal large language models: A survey.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Efficient multimodal large language models: A survey

Reference 24

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Observation f3abac6f-7a9f-43cb-ba93-79b754b0ce6b · outbound

This paper cites Vision Transformers with Natural Language Semantics.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Vision Transformers with Natural Language Semantics

Reference 25

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Observation 34b33b84-a249-4ac0-a9c2-68a84fab5ef4 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration LLaVA-OneVision: Easy Visual Task Transfer

Reference 26

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Unresolved cited work

Reference 27

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Observation f0a986b0-1320-418f-be09-e018279d5e4d · outbound

This paper cites TokenPacker: Efficient Visual Projector for Multimodal LLM.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration TokenPacker: Efficient Visual Projector for Multimodal LLM

Reference 28

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This paper cites Evaluating Object Hallucination in Large Vision-Language Models.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Evaluating Object Hallucination in Large Vision-Language Models

Reference 29

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This paper cites Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Not All Patches are What You Need: Expediting Vision Transformers via Token Reorganizations

Reference 30

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Observation 4a8f3929-8780-4d8d-b9d2-7d3476037877 · outbound

This paper cites Video-llava: Learning united visual representation by alignment before projection.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Video-llava: Learning united visual representation by alignment before projection

Reference 31

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Observation 09977cc5-f999-46c9-973b-344db8ac30ea · outbound

This paper cites Awq: Activation-aware weight quantization for on-device llm compression and acceleration.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Awq: Activation-aware weight quantization for on-device llm compression and acceleration

Reference 32

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This paper cites Looking Beyond The Top-1: Transformers Determine Top Tokens In Order.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Looking Beyond The Top-1: Transformers Determine Top Tokens In Order

Reference 33

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Observation 91750a97-14ce-4536-8d10-d8cd33409556 · outbound

This paper cites Improved baselines with visual instruction tuning, 2023.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Improved baselines with visual instruction tuning, 2023

Reference 34

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Observation 53632313-9bfc-48bf-95fd-949d17e3e7e9 · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Llava-next: Im- proved reasoning, ocr, and world knowledge

Reference 35

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Observation fd7cb6c4-f436-4e49-bf67-9f11d1d33ef0 · outbound

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Llava-next: Im- proved reasoning, ocr, and world knowledge, January 2024

Reference 36

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Observation 8c546c66-7c97-4723-9b46-d1a7ae3c17c9 · outbound

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Visual Instruction Tuning

Reference 37

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration World Model on Million-Length Video And Language With Blockwise RingAttention

Reference 38

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This paper cites Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-Attention

Reference 39

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration MMBench: Is Your Multi-modal Model an All-around Player?

Reference 40

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Observation 8fb85cb8-4519-46d1-b5c8-e6cbb98f41e7 · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:08.398107Z

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Observation 52ab48fb-89c4-4c8a-ba26-2281ce1d11d2 · outbound

This paper cites Gpt-4 technical report.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Gpt-4 technical report

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:08.386542Z

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Observation 3f8400f6-8ed3-4e29-bca1-5f87e93384ba · outbound

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Gpt-4v(ision) system card

Reference 43

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Kosmos-2: Grounding Multimodal Large Language Models to the World

Reference 44

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs

Reference 45

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This paper cites Llava-prumerge: Adaptive token reduction for efficient large multimodal models.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Llava-prumerge: Adaptive token reduction for efficient large multimodal models

Reference 46

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This paper cites Enhancing post-training quantization calibration through contrastive learning.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Enhancing post-training quantization calibration through contrastive learning

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:08.368904Z

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Observation aa91d93a-1bb4-4454-9e95-c751b41c9caa · outbound

This paper cites Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Interpolating Video-LLMs: Toward Longer-sequence LMMs in a Training-free Manner

Reference 48

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration PB-LLM: Partially Binarized Large Language Models

Reference 49

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This paper cites Crossget: Cross-guided ensem- ble of tokens for accelerating vision-language transformers.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Crossget: Cross-guided ensem- ble of tokens for accelerating vision-language transformers

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:08.357511Z

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Observation 86bf74f5-5ae9-4bb6-84c1-e72090c10f30 · outbound

This paper cites Towards vqa models that can read.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Towards vqa models that can read

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:08.345964Z

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Observation f1611754-88d6-4d73-ae1f-864d6fad6ea6 · outbound

This paper cites A Simple and Effective Pruning Approach for Large Language Models.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration A Simple and Effective Pruning Approach for Large Language Models

Reference 52

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This paper cites Efficient transformers: A survey.

freePruner: A Training-free Approach for Large Multimodal Model Acceleration Efficient transformers: A survey

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Gemini: A Family of Highly Capable Multimodal Models

Reference 54

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration LLaMA: Open and Efficient Foundation Language Models

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Attention is all you need

Reference 56

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Q-VLM: Post-training Quantization for Large Vision-Language Models

Reference 57

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Observation 90e90d60-a74b-49a3-b008-ecc8afbc6032 · outbound

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Reference 58

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 59

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Efficient Streaming Language Models with Attention Sinks

Reference 60

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Reference 61

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration A Survey on Multimodal Large Language Models

Reference 62

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration LLM Inference Unveiled: Survey and Roofline Model Insights

Reference 63

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Reference 64

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 65

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Token-level Correlation-guided Compression for Efficient Multimodal Document Understanding

Reference 66

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

Reference 67

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Extract free dense labels from clip

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T14:22:08.299391Z

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration LanguageBind: Extending Video-Language Pretraining to N-modality by Language-based Semantic Alignment

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 70

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freePruner: A Training-free Approach for Large Multimodal Model Acceleration Orthogonal Method with Post-training Quan- tization on LLMs Table 4

Reference 71

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Pith citing papers

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A More Word-like Image Tokenization for MLLMs cites this paper.

A More Word-like Image Tokenization for MLLMs freePruner: A Training-free Approach for Large Multimodal Model Acceleration

Reference 44

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Observation 8e83e1cc-20c7-4665-b65b-deb88e81a0c5 · inbound

On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning cites this paper.

On the Sparsity-Storage-Accuracy Tradeoff in Parsimoniously Activated Dictionary Learning freePruner: A Training-free Approach for Large Multimodal Model Acceleration

Reference 44

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