Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models | Paper Citation Record

Observation 64c828ca-a582-4ab9-a374-ebe28f686508 · outbound

This paper cites GPT-4 Technical Report.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models GPT-4 Technical Report

Reference 1

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Observation 20fbc583-e469-4aea-9618-d6ad89be4287 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 2

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Observation 926f7e6b-769e-4859-8550-91f6753d16cf · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 3

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Observation 7ea9e3a8-b5d4-4bad-a9f5-3583694a12be · outbound

This paper cites Token Merging: Your ViT But Faster.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Token Merging: Your ViT But Faster

Reference 4

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Observation 3c326817-1794-4b44-aa22-ac5259a0afe6 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 5

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Observation 6e736b13-0c84-4ae6-8136-6dffcf0064b9 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 6

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Observation 6538b459-00e3-4d77-bbfa-ad5f774842a8 · outbound

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

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:15.902218Z

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Observation 2516bd0a-c791-41d4-b2c5-e266ba4ec952 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:51:16.822913Z

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Observation 950709cf-cbd9-49f9-b949-cb5a712452de · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 9

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Observation 1e1f08a3-b2c6-41fc-af52-173ada3c8c9b · outbound

This paper cites Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Recoverable Compression: A Multimodal Vision Token Recovery Mechanism Guided by Text Information

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:15.913995Z

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Observation 36ba18d9-dc18-4cb0-b269-95216a259cdd · outbound

This paper cites Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Generating More Pertinent Captions by Leveraging Semantics and Style on Multi-Source Datasets

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:15.918167Z

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Observation ee9b3ab0-eea4-4437-8ad0-ab141f816c50 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:51:16.805211Z

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Observation 480ab6ec-9b42-4065-a88a-a5b6c04d8b05 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:51:16.794596Z

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Observation 7f0baf14-4ad1-43a2-850f-33c8d754cadc · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:51:16.784315Z

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Observation 6dc1caad-d203-43c2-99b2-ab013659133f · outbound

This paper cites Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Dynamic-LLaVA: Efficient Multimodal Large Language Models via Dynamic Vision-language Context Sparsification

Reference 15

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Observation 82d6d2e8-d2be-4445-ad49-ddb79af545b8 · outbound

This paper cites Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Pyramid-BERT: Reducing Complexity via Successive Core-set based Token Selection

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:51:16.485536Z

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Observation 0ec91359-8c53-4e84-b69b-91de2c83e776 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:51:16.773007Z

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Observation aad5c970-fe26-4b31-be22-290912ce054c · outbound

This paper cites SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:15.943627Z

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Observation b769fd6f-7add-47d9-b905-f31e3358104b · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 19

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Observation 1a3c9763-f343-4d6b-95d7-997527b62566 · outbound

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

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models TokenPacker: Efficient Visual Projector for Multimodal LLM

Reference 20

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Observation 6ffbb7d5-a195-44fb-8963-eefc5b6d95c2 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 21

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Observation 8d4a8035-c364-4586-ba74-5874fe2d81fa · outbound

This paper cites Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid Inference

Reference 22

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Observation 6b4561a5-51d9-4ff8-9b80-e6cc175cfede · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 23

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Observation c1e17434-7492-4280-a45f-415a6330b497 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:15.976392Z

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Observation f4a84d01-4a84-4bc8-a7e4-0ddddee05ea4 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 25

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Observation 4e7b8e29-0cc5-4680-be7c-4b374cf8e572 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 26

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Observation 2a392ada-7168-4d5e-b4ec-d1fdc7f23503 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 27

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Observation cd0b8d67-acce-4e00-b2cb-2833ab51bf4a · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:51:16.708346Z

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Observation ed09baac-0b92-4767-87ac-77fd347af187 · outbound

This paper cites DeepSeek-VL: Towards Real-World Vision-Language Understanding.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 29

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Observation 7252d8d3-4b03-4f67-9854-851219f8eb87 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:51:16.695215Z

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Observation 06795ca0-5fba-4fb9-92ca-e21105ca8a5a · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 31

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Observation e640f75c-908b-4092-86a0-39c9f77051fa · outbound

This paper cites ClipCap: CLIP Prefix for Image Captioning.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models ClipCap: CLIP Prefix for Image Captioning

Reference 32

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Observation 71c55e8e-6582-427f-a339-8cc12302f202 · outbound

This paper cites Spatial-Aware Efficient Projector for MLLMs via Multi-Layer Feature Aggregation.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Spatial-Aware Efficient Projector for MLLMs via Multi-Layer Feature Aggregation

Reference 33

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Observation 4fd76f7e-3374-4bed-ad1f-820c3fb42bfe · outbound

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Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 34

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Observation f720317c-8df7-441c-94ad-23657f4d064a · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 35

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Observation 936585e6-2f2b-48d7-9ebd-91dea5435bb6 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 36

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Observation 9645ca8c-ce7e-40bb-b58a-f8eaa4a3df4b · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 37

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Observation e62aeaec-4fbe-4611-8b09-740906e6bb17 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:51:16.655526Z

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Observation 8e98a39c-b832-44f3-8e46-5c912cac2f8c · outbound

This paper cites Aligning Large Multimodal Models with Factually Augmented RLHF.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Aligning Large Multimodal Models with Factually Augmented RLHF

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:16.044796Z

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Observation 17e3b5a5-1af1-41fd-bc43-c997c534ca03 · outbound

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Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 40

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Observation 0c4c3ec4-0963-4b6e-8855-b6c3c4f3b931 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Gemini: A Family of Highly Capable Multimodal Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:16.058201Z

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Observation 3d00c2fa-8612-4e98-9be4-d111b3cf5e87 · outbound

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Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 42

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Observation 99e589ce-f06b-4758-98ad-eb9ff2716857 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models LLaMA: Open and Efficient Foundation Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:16.066775Z

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Observation feca0bff-5df2-4f42-9fa0-c06dab73dd4c · outbound

This paper cites Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Pruning All-Rounder: Rethinking and Improving Inference Efficiency for Large Vision Language Models

Reference 44

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Observation 01f015da-9025-45e9-80e1-6a8b0328584d · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 45

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Observation 0919dcf9-5c44-4864-be5c-f1bd1b65fb95 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:51:16.606375Z

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Observation 2a1e5c70-e1c2-49ce-a5ac-fa15298f7e2a · outbound

This paper cites PPT: Token Pruning and Pooling for Efficient Vision Transformers.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models PPT: Token Pruning and Pooling for Efficient Vision Transformers

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:16.080688Z

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Observation 31842a3b-d73c-403d-ab8d-a116921ef5b6 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 48

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Observation 053c4317-01a0-4b80-b2ee-b2bdaf1627d4 · outbound

This paper cites mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models

Reference 49

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Observation 0701ed71-9bf4-4fda-ac4a-0ae9a9a71b80 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:51:16.594317Z

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Observation 9c1d5dac-5654-401e-952e-bed09607a0c9 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 51

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Observation aead8801-3c5c-44e2-9076-580e8c41f9ee · outbound

This paper cites PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models PyramidDrop: Accelerating Your Large Vision-Language Models via Pyramid Visual Redundancy Reduction

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:16.084353Z

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Observation 0118efe0-ecf8-4bd8-8a9c-1afe67b707f4 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models OPT: Open Pre-trained Transformer Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:16.101903Z

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Observation 1f2f95bd-c8b5-48be-9534-3aa18d136fa9 · outbound

This paper cites an unresolved cited work.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-06T05:51:16.571336Z

Source-reported events for the cited work

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Observation 2f9c8825-b548-405f-a355-b60ea1a8aa1c · outbound

This paper cites Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Reference 55

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Observation 806989ac-a5bb-43c2-aff6-6e3192fa1a0a · outbound

This paper cites LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models LLaVA-Mini: Efficient Image and Video Large Multimodal Models with One Vision Token

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:16.098415Z

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Observation d467f645-8cd3-40f8-9f66-a00bf77f9081 · outbound

This paper cites SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference

Reference 59

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Observation af511100-a7e2-44f2-a98a-d33330d763b5 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:16.116733Z

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Observation eef6d219-2610-4ea0-b920-45961f05c693 · outbound

This paper cites Advances in neural information processing systems 35 (2022), 23716–23736.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Advances in neural information processing systems 35 (2022), 23716–23736

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:15.880516Z

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Observation 31c170a6-99d4-4ec6-b206-7ff75fadddb1 · outbound

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

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Evaluating Object Hallucination in Large Vision-Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:15.960213Z

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Observation 3ddc02e1-1c64-435e-a3f3-29e50eaa25fb · outbound

This paper cites Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model.

Mitigating Information Loss under High Pruning Rates for Efficient Large Vision Language Models Multi-Stage Vision Token Dropping: Towards Efficient Multimodal Large Language Model

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T05:51:15.987225Z

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