Paper Citation Record · LEDGER

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers

As of 11 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 2 inbound Pith citation observations for arXiv:2501.16297.

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

pith.paper-citation-record.v1
2501.16297 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:38:18.919283Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T23:09:32.594194Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:14:01.665133Z

Reference resolution

66 of 66 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9cecb0cd-669b-499c-b5d1-611b54e4602a · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

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Observation 2930fe71-38c5-4dd1-96c0-cf4eb91f3fa8 · outbound

This paper cites Lion: Empowering multimodal large language model with dual-level visual knowledge.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Lion: Empowering multimodal large language model with dual-level visual knowledge

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:38:19.650731Z

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Observation 00b8b4a7-9f6e-4a5b-9383-1862af359e04 · outbound

This paper cites Less is more: Empowering gui agent with context- aware simplification.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Less is more: Empowering gui agent with context- aware simplification

Reference 3

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Observation 06f4e848-242b-4446-baae-33a9dde9139b · outbound

This paper cites MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning

Reference 4

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Observation 48e9b2e3-80b4-4576-bacf-75157864c99b · outbound

This paper cites Spa-bench: A comprehensive benchmark for smartphone agent evalua- tion.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Spa-bench: A comprehensive benchmark for smartphone agent evalua- tion

Reference 5

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Observation 4a044303-7ddb-4633-a91d-549cd3158b58 · outbound

This paper cites Sharegpt4v: Improving large multi-modal models with better captions.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Sharegpt4v: Improving large multi-modal models with better captions

Reference 6

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Observation 189dacbe-1e7a-47f2-b301-7d58e427a451 · outbound

This paper cites Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Internvl: Scaling up vision foundation mod- els and aligning for generic visual-linguistic tasks

Reference 7

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Observation f4d8f2bb-447e-48e7-b1a4-6d90bfe78e25 · outbound

This paper cites Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality

Reference 8

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Observation 86a2d164-30f3-4be8-878c-2ed042bca62e · outbound

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

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers InstructBLIP: Towards general-purpose vision-language models with instruction tuning

Reference 9

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Observation 54b7c54b-407f-42a3-a4d7-cae40c478b81 · outbound

This paper cites Vision transformers need registers.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Vision transformers need registers

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:38:19.580813Z

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Observation b05491e6-12f0-4fae-b022-4e138d0b0fde · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers An image is worth 16x16 words: Transformers for image recognition at scale

Reference 11

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Observation 86885e08-9b0e-4839-b105-0bd5e9780b93 · outbound

This paper cites The Llama 3 Herd of Models.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers The Llama 3 Herd of Models

Reference 12

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Observation f0b27731-56bc-4aa2-b96c-c85fdb6faf2f · outbound

This paper cites Gaussian Error Linear Units (GELUs).

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Gaussian Error Linear Units (GELUs)

Reference 13

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Observation ac01ab06-dbdb-4897-a3e3-12b933609d0d · outbound

This paper cites CogVLM2: Visual Language Models for Image and Video Understanding.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers CogVLM2: Visual Language Models for Image and Video Understanding

Reference 14

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Observation 33395e58-9e1a-40ff-842f-eee1d6082bc2 · outbound

This paper cites mplug-docowl 1.5: Unified structure learning for ocr-free document understanding.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers mplug-docowl 1.5: Unified structure learning for ocr-free document understanding

Reference 15

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Observation 905014d2-2ac6-4584-bced-f09eaa7de993 · outbound

This paper cites Mini-monkey: Alleviating the semantic saw- tooth effect for lightweight MLLMs via complementary im- age pyramid.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Mini-monkey: Alleviating the semantic saw- tooth effect for lightweight MLLMs via complementary im- age pyramid

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:38:19.551976Z

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Observation 156e88a4-8f94-4638-83c2-989d28bd2371 · outbound

This paper cites Hires-llava: Restoring fragmen- tation input in high-resolution large vision-language models.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Hires-llava: Restoring fragmen- tation input in high-resolution large vision-language models

Reference 17

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Observation 6493d439-31b1-4e22-815a-5bd29d58c30c · outbound

This paper cites Openvla: An open-source vision-language-action model.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Openvla: An open-source vision-language-action model

Reference 18

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Observation 057861c3-7ed6-4acb-943c-0fc7d84e2852 · outbound

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

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

Reference 19

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Observation 01559c1a-9d54-4159-b24d-a22c4e2cb7e2 · outbound

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers LLaV A-onevision: Easy visual task transfer

Reference 20

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Observation dbaafdc9-d0bb-4a5c-8a55-5eb8ee60a24b · outbound

This paper cites STAR: Learning diverse robot skill abstractions through rotation-augmented vector quan- tization.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers STAR: Learning diverse robot skill abstractions through rotation-augmented vector quan- tization

Reference 21

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Observation 9773fdbd-b6ca-4420-b586-1ed3a5cdc433 · outbound

This paper cites Blip-2: Bootstrapping language-image pre-training with 11 frozen image encoders and large language models.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Blip-2: Bootstrapping language-image pre-training with 11 frozen image encoders and large language models

Reference 22

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Observation 05ab51b1-b59b-4d17-88f1-e36a767cf6f2 · outbound

This paper cites Flex- attention for efficient high-resolution vision-language mod- els.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Flex- attention for efficient high-resolution vision-language mod- els

Reference 23

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Observation 3898cb60-9eb4-4ae8-ba70-2caf4890a0de · outbound

This paper cites Lion-fs: Fast & slow video-language thinker as online video assistant.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Lion-fs: Fast & slow video-language thinker as online video assistant

Reference 24

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Observation 92305da7-4122-4711-a3e1-2bb26cb96def · outbound

This paper cites Evaluating object hallucination in large vision-language models.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Evaluating object hallucination in large vision-language models

Reference 25

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Observation a1862721-228f-481c-a619-8369a8c60462 · outbound

This paper cites Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

Reference 26

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Observation aa7da1ae-4093-4815-88dc-9d1598f5cd82 · outbound

This paper cites Optimus-1: Hybrid multimodal memory empowered agents excel in long-horizon tasks.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Optimus-1: Hybrid multimodal memory empowered agents excel in long-horizon tasks

Reference 27

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Observation 0aa62c3a-5c79-47be-b161-5eb2c705ed67 · outbound

This paper cites Mon- key: Image resolution and text label are important things for large multi-modal models.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Mon- key: Image resolution and text label are important things for large multi-modal models

Reference 28

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Observation 75e8e79f-8633-4bed-bfe3-4ff0824dd92f · outbound

This paper cites Optimus-2: Multimodal minecraft agent with goal-observation-action conditioned policy.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Optimus-2: Multimodal minecraft agent with goal-observation-action conditioned policy

Reference 29

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Observation aeb7aca1-8e46-4cf1-bbf9-a55e1f82e333 · outbound

This paper cites Improved baselines with visual instruction tuning.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Improved baselines with visual instruction tuning

Reference 30

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Observation 94754f3a-0b0a-49e2-ab02-bb33b379258c · outbound

This paper cites Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Llava-next: Im- proved reasoning, ocr, and world knowledge, 2024

Reference 31

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Visual instruction tuning

Reference 32

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This paper cites TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document

Reference 33

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Observation 99251e67-9df0-41a4-970d-90e9a6a68bf0 · outbound

This paper cites Mmbench: Is your multi-modal model an all-around player? In European Conference on Computer Vision, pages 216–233.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Mmbench: Is your multi-modal model an all-around player? In European Conference on Computer Vision, pages 216–233

Reference 34

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Observation 718f2c8d-4842-4d67-9520-ebb223d1e3b8 · outbound

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Swin transformer: Hierarchical vision transformer using shifted windows

Reference 35

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Observation 80466512-1ad5-4253-a94a-96d2ca4629bb · outbound

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

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers DeepSeek-VL: Towards Real-World Vision-Language Understanding

Reference 36

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Observation b5245f0b-10fa-4f44-b04f-5b197bbd3d48 · outbound

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

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Learn to explain: Multimodal reasoning via thought chains for science question answering

Reference 37

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Observation 5c6f3f2f-88ce-4b28-aa9a-a977052721d7 · outbound

This paper cites Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models

Reference 38

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Observation 4dfc0037-2743-484f-bd91-0de059dd5dd2 · outbound

This paper cites Spatial-temporal graph diffusion policy with kinematic mod- eling for bimanual robotic manipulation.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Spatial-temporal graph diffusion policy with kinematic mod- eling for bimanual robotic manipulation

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:38:19.383566Z

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Observation b58f3cd1-f15f-4198-b84a-0ab867f706a4 · outbound

This paper cites Chartqa: A benchmark for question an- swering about charts with visual and logical reasoning.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Chartqa: A benchmark for question an- swering about charts with visual and logical reasoning

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:38:19.372698Z

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Observation fcf03e1a-d56a-426f-878e-f1710aed48e2 · outbound

This paper cites Docvqa: A dataset for vqa on document images.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Docvqa: A dataset for vqa on document images

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:38:19.361057Z

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Observation 2223dd60-7822-4ab6-8de0-6f1d3d81404e · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Learning transferable visual models from natural language supervi- sion

Reference 42

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Observation 68d28a54-be9a-4828-b622-3bef84431d87 · outbound

This paper cites Multi-adversarial discriminative deep domain generalization for face presentation attack detection.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Multi-adversarial discriminative deep domain generalization for face presentation attack detection

Reference 43

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Observation 5682eb4d-25ed-4d0c-909a-1a2eb617661c · outbound

This paper cites Detecting and grounding multi-modal media manipulation.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Detecting and grounding multi-modal media manipulation

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:38:19.337795Z

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Observation 1ee6b5e4-3a72-463e-91df-12ac496afa7a · outbound

This paper cites Detecting and grounding multi-modal media manip- ulation and beyond.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Detecting and grounding multi-modal media manip- ulation and beyond

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:38:19.327055Z

Source-reported events for the cited work

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Observation 302dd13c-0a73-4068-a2b9-490798c2f71d · outbound

This paper cites Mome: Mixture of multimodal experts for gen- eralist multimodal large language models.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Mome: Mixture of multimodal experts for gen- eralist multimodal large language models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T13:38:19.315809Z

Source-reported events for the cited work

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Observation 5de446c3-1946-4748-85a2-4b8b58af2f6c · outbound

This paper cites When do we not need larger vision models? In 12 European Conference on Computer Vision, pages 444–462,.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers When do we not need larger vision models? In 12 European Conference on Computer Vision, pages 444–462,

Reference 47

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This paper cites Towards vqa models that can read.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Towards vqa models that can read

Reference 48

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Gemini: A Family of Highly Capable Multimodal Models

Reference 49

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Reference 50

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 51

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers V*: Guided visual search as a core mechanism in multimodal llms

Reference 52

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This paper cites Gui-explorer: Au- tonomous exploration and mining of transition-aware knowl- edge for gui agent.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Gui-explorer: Au- tonomous exploration and mining of transition-aware knowl- edge for gui agent

Reference 53

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This paper cites DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models.

FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models

Reference 54

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 55

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

Reference 56

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Ureader: Universal ocr-free visually-situated language understanding with multimodal large language model

Reference 57

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 58

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers mplug-owl2: Revolutionizing multi-modal large language model with modality collaboration

Reference 59

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Modeling context in referring expres- sions

Reference 60

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Sigmoid loss for language image pre-training

Reference 61

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output

Reference 62

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Token-level Correlation-guided Compression for Efficient Multimodal Document Understanding

Reference 63

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers From redundancy to relevance: Enhancing explainability in multimodal large language mod- els

Reference 64

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Reference 65

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FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models

Reference 66

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Pith citing papers

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UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries cites this paper.

UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers

Reference 54

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Visual-Redundancy-Controlled Parallel Decoding for Diffusion-Based Multimodal Large Language Models cites this paper.

Visual-Redundancy-Controlled Parallel Decoding for Diffusion-Based Multimodal Large Language Models FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers

Reference 29

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