ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models | Paper Citation Record

Observation 31bf5866-4760-4335-a224-51805862b122 · outbound

This paper cites GPT-4 Technical Report.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models GPT-4 Technical Report

Reference 1

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Observation 65df0608-8b64-422c-ac3a-5a0cc8a74c1e · outbound

This paper cites A Survey of Multimodal Large Language Model from A Data-centric Perspective.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models A Survey of Multimodal Large Language Model from A Data-centric Perspective

Reference 2

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Observation fc049b0d-8b0a-4c77-a607-63bbce204588 · outbound

This paper cites Round and Round We Go! What makes Rotary Positional Encodings useful?.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Round and Round We Go! What makes Rotary Positional Encodings useful?

Reference 3

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Observation 021a6a3b-4a9c-49b5-96ff-7773d022ab89 · outbound

This paper cites InternLM2 Technical Report.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models InternLM2 Technical Report

Reference 4

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Observation 961d16dc-35d7-43a3-b59f-4eed278cd3b9 · outbound

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 5

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Observation 174bece8-caae-4494-8294-58f95ae0b1b0 · outbound

This paper cites an unresolved cited work.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 6

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Observation 5cb000da-6469-444d-9edb-ffa4d03a386a · outbound

This paper cites Are We on the Right Way for Evaluating Large Vision-Language Models?.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Are We on the Right Way for Evaluating Large Vision-Language Models?

Reference 7

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This paper cites an unresolved cited work.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 8

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Observation 22035ef3-ee65-4c95-a16f-ec251a2eaf41 · outbound

This paper cites Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Advancing General Multimodal Capability of Vision-language Models with Pyramid-descent Visual Position Encoding

Reference 9

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Observation 794782d4-e9a5-40f2-8394-4d03513b5c12 · outbound

This paper cites Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:53.834178Z

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Observation 2b52ef69-0d0e-47b8-b6c0-63a838a325d0 · outbound

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 11

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Observation f4daa6b2-6f6b-455a-8c49-6dec666b2e9c · outbound

This paper cites NVLM: Open Frontier-Class Multimodal LLMs.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models NVLM: Open Frontier-Class Multimodal LLMs

Reference 12

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Observation 90e0e22b-6ecf-4464-8d9b-cd5f8643d0c1 · outbound

This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Reference 13

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Observation 53af61fd-b775-44fa-8ba1-1056032c9cb8 · outbound

This paper cites Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models

Reference 14

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Observation d0d9a0b4-b9ff-4e5a-b609-662b45996130 · outbound

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

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 15

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Observation 126ea3e5-301e-4a5a-a734-aa477467628f · outbound

This paper cites V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding

Reference 16

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:54.796540Z

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Observation 50dcb0ac-92a5-49ec-a5a1-fa2b4735cbe7 · outbound

This paper cites an unresolved cited work.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 18

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Observation b8834c94-9199-485b-9a0a-00b0b974100f · outbound

This paper cites DeBERTa: Decoding-enhanced BERT with Disentangled Attention.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models DeBERTa: Decoding-enhanced BERT with Disentangled Attention

Reference 19

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Observation 0d5c2ac6-77ed-4dba-9adb-c0bfd758da57 · outbound

This paper cites an unresolved cited work.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 20

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Observation 8ebc8c25-c5e4-4cd8-9ae5-9f2d8400e533 · outbound

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension

Reference 21

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 22

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 23

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Observation 6953a941-df0d-4d58-be17-63306f8c0ef2 · outbound

This paper cites DeepSeek-V3 Technical Report.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models DeepSeek-V3 Technical Report

Reference 24

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 25

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 26

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 27

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 28

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 29

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models NVILA: Efficient Frontier Visual Language Models

Reference 30

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Base of RoPE Bounds Context Length

Reference 32

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Pointer Sentinel Mixture Models

Reference 33

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 34

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 35

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 36

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Observation 98a31dd4-2a28-4754-b24a-6bb8921f0b82 · outbound

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 37

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Self-Attention with Relative Position Representations

Reference 38

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 39

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Observation 915f3e5c-98f6-4ac8-b3b6-e2750c6180a4 · outbound

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 40

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Observation ca325593-33c2-4ad6-a7fe-b8674347ae2c · outbound

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Encoding word order in complex embeddings

Reference 41

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Observation 7ddb8249-8866-4779-a1bc-eb51bde00052 · outbound

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 42

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Observation 42562388-ac79-4dbe-8a31-3e06cbd2b6c3 · outbound

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding

Reference 43

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:33:59.666576Z

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Observation 63015977-dede-45fa-8d58-f80bfd172548 · outbound

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Qwen2.5 Technical Report

Reference 45

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models A Survey on Multimodal Large Language Models

Reference 46

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 47

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Observation 8ecc0117-d171-4197-a078-51dff60f6ff4 · outbound

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models MM-LLMs: Recent Advances in MultiModal Large Language Models

Reference 48

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models LMMs-Eval: Reality Check on the Evaluation of Large Multimodal Models

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:58.047950Z

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Observation bd964784-c1d4-40fd-bb41-cc1c275e4637 · outbound

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models Unresolved cited work

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:58.127521Z

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Observation 281c2a70-5c47-4125-9504-d3bffeb7b64b · outbound

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:58.230319Z

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Observation faff2384-d844-4751-aad3-a997392df084 · outbound

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ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models online" 'onlinestring :=

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T13:33:58.305535Z

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Observation b9a86f81-c671-4285-822f-361704ed29fc · outbound

This paper cites write newline.

ID-Align: RoPE-Conscious Position Remapping for Dynamic High-Resolution Adaptation in Vision-Language Models write newline

Reference 53

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Pith citing papers