Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors | Paper Citation Record

Observation e9d699af-873a-4b22-b63d-7e2243652ff4 · outbound

This paper cites 2025 , eprint=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors 2025 , eprint=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:41.660878Z

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Observation d126ce7d-31e6-4b21-8589-6d1ffbc98e4f · outbound

This paper cites Proceedings of the 2024 conference on empirical methods in natural language processing , pages=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Proceedings of the 2024 conference on empirical methods in natural language processing , pages=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:41.714721Z

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Observation dbf9d22f-f5b7-4b34-8c67-4acc3f614be7 · outbound

This paper cites Science China Information Sciences , volume=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Science China Information Sciences , volume=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:41.772008Z

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Observation 982faadf-2023-46fc-aba7-c4cd54575a44 · outbound

This paper cites VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Reference 4

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Observation 7e6805ad-acac-40b5-9cfb-2befdf91bfa4 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:41.887011Z

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Observation 3f1fa2b7-8292-45f3-96a8-fe26957e6842 · outbound

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

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors LLaVA-OneVision: Easy Visual Task Transfer

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:41.936578Z

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Observation 16129752-a127-47ff-a819-6c64e0f6fe8d · outbound

This paper cites SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors SlowFast-LLaVA: A Strong Training-Free Baseline for Video Large Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:42.003198Z

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Observation 486bd35f-d07e-44b0-a4db-4a328a3b95d8 · outbound

This paper cites LongVILA: Scaling Long-Context Visual Language Models for Long Videos.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors LongVILA: Scaling Long-Context Visual Language Models for Long Videos

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:42.056803Z

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Observation 43fe9119-866d-48ab-a661-8e100b2f6cc4 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:42.121515Z

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Observation 2bbef040-3c0b-47ca-98da-46922382d900 · outbound

This paper cites Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Video-CCAM: Enhancing Video-Language Understanding with Causal Cross-Attention Masks for Short and Long Videos

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:42.181503Z

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Observation 35115adc-2044-40d7-869a-d71058c4bde1 · outbound

This paper cites LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:42.230180Z

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Observation 9d159b4b-e366-4cc5-8ef7-38491711865f · outbound

This paper cites Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:42.291857Z

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Observation b75f4b92-3907-478c-bcfe-b74fa1f47dc4 · outbound

This paper cites Kwai Keye-VL Technical Report.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Kwai Keye-VL Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:42.344173Z

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Observation 551218d4-c04f-439e-a53f-3bfd87281b30 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:42.502073Z

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Observation 023e1e81-9023-4cee-9360-1e5ca636e1a5 · outbound

This paper cites CoS: Chain-of-Shot Prompting for Long Video Understanding.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors CoS: Chain-of-Shot Prompting for Long Video Understanding

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:42.688411Z

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Observation 542ba471-83a9-47ca-a073-4a16e8c2cb39 · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:42.912377Z

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Observation a6bc7367-482b-473f-8b13-5e7a81be1241 · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:43.040367Z

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Observation 9c78edad-fd1b-42a5-8d4e-8cf73009e44f · outbound

This paper cites Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Proceedings of the IEEE/CVF International Conference on Computer Vision , pages=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:43.147436Z

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Observation a7eae351-3594-405c-b82e-254fb07595ec · outbound

This paper cites Proceedings of the Computer Vision and Pattern Recognition Conference , pages=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Proceedings of the Computer Vision and Pattern Recognition Conference , pages=

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:43.203874Z

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Observation 732a5076-6ed2-4016-b11f-da781c3c7154 · outbound

This paper cites Frame-Voyager: Learning to Query Frames for Video Large Language Models.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Frame-Voyager: Learning to Query Frames for Video Large Language Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:43.297703Z

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Observation 3638ec97-6a7f-47c4-81fd-d04f151aeebf · outbound

This paper cites ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors ViaRL: Adaptive Temporal Grounding via Visual Iterated Amplification Reinforcement Learning

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:43.510039Z

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Observation 0b37c1b7-b82d-47ba-88ac-a0f415b44d24 · outbound

This paper cites 2025 , eprint=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors 2025 , eprint=

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:43.617246Z

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Observation 7ab06932-f2dc-42a1-9b7e-ec6315e31dcd · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Advances in Neural Information Processing Systems , volume=

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:43.732788Z

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Observation 74d5455b-21e8-4602-a0c4-edff0915cd0e · outbound

This paper cites Findings of the Association for Computational Linguistics: ACL 2025 , pages=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Findings of the Association for Computational Linguistics: ACL 2025 , pages=

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:43.902744Z

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Observation c6a5feda-df2f-4f5c-a1a4-34270efe751c · outbound

This paper cites Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Chain-of-Frames: Advancing Video Understanding in Multimodal LLMs via Frame-Aware Reasoning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:44.131300Z

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Observation ae03ae1c-57e0-4df6-9099-5ea9281c1d45 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:44.225953Z

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Observation 14407740-561b-4ab0-8e05-8d21b0a16b86 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Advances in Neural Information Processing Systems , volume=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:44.340870Z

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Observation ab762f98-691a-4e91-a1f8-b064bbe9fa96 · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:44.445751Z

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Observation dabbd4ca-4291-44c8-952c-7d0454feb6e8 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:44.609118Z

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Observation be02a39a-0481-468d-848e-ec29f764cd70 · outbound

This paper cites 2024 , eprint=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors 2024 , eprint=

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:44.752176Z

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Observation c998c41b-a74a-43d2-bfa7-8b7ac441124c · outbound

This paper cites LMMs-Eval: Accelerating the Development of Large Multimodal Models , url =.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors LMMs-Eval: Accelerating the Development of Large Multimodal Models , url =

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:44.896998Z

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Observation 2856f8eb-a084-4664-befd-5bb1241ca836 · outbound

This paper cites 2025 , eprint=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors 2025 , eprint=

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:45.017110Z

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Observation 1a5f4efb-2082-46bb-b31e-168becc202de · outbound

This paper cites InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:45.121056Z

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Observation 5baadcdd-3acb-44b1-8c0e-f4ff8be78c9a · outbound

This paper cites 2024 , howpublished =.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors 2024 , howpublished =

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:45.217906Z

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Observation ea9794b4-b136-4d67-baa3-cbc6469ab891 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:45.297149Z

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Observation a2a12512-a6fd-4b8b-a593-cec6c9014f1a · outbound

This paper cites Qwen3 Technical Report.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Qwen3 Technical Report

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:45.400837Z

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Observation 39f26be3-53e9-4c38-b469-70f7db0bff8e · outbound

This paper cites 2025 , eprint =.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors 2025 , eprint =

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:45.508334Z

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Observation cbe4b01c-be6e-410f-b62f-cbb0ef346cb9 · outbound

This paper cites 2024 , eprint=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors 2024 , eprint=

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:45.657730Z

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Observation 59620e5e-8656-4920-9a29-6bd6d3c46d32 · outbound

This paper cites LLaVA-Video: Video Instruction Tuning With Synthetic Data.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors LLaVA-Video: Video Instruction Tuning With Synthetic Data

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:45.828964Z

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Observation d014b4e7-dd97-4ca6-bfba-9d026d61ca29 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:45.986561Z

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Observation be6c229a-dfb1-47e4-84a9-823ea7d0fc5e · outbound

This paper cites European conference on computer vision , pages=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors European conference on computer vision , pages=

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:46.096044Z

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Observation 08fc3bc3-eab0-45af-a13f-60e86cd4ff4e · outbound

This paper cites MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors MMBench-Video: A Long-Form Multi-Shot Benchmark for Holistic Video Understanding

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:46.251209Z

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Observation 8df1a760-9674-46c4-886d-16f17f13170c · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:46.380037Z

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Observation 3f3101e5-e3c1-4138-9464-d00e20841585 · outbound

This paper cites GPT-4o System Card.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors GPT-4o System Card

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:46.520050Z

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Observation 0f599655-59fa-4af4-b30c-c0633ce361cb · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:46.621136Z

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Observation 3e637cc5-662e-4c33-b1d2-0dc4bb11fce2 · outbound

This paper cites 2023 , url=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors 2023 , url=

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:46.718466Z

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Observation 50af191e-c0fd-4646-8cfa-999ad45eab79 · outbound

This paper cites 2025 , eprint=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors 2025 , eprint=

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:46.867016Z

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Observation d5b3bf85-6798-4be6-81e1-ee9a3bbccaae · outbound

This paper cites 2510.04428 , archivePrefix=.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors 2510.04428 , archivePrefix=

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:46.980296Z

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Observation 6130b671-47c6-47e8-bfee-7e53335fd434 · outbound

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Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors 2603.25072 , archivePrefix=

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:47.110495Z

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Observation dae80eb8-8c3e-46e5-82af-631ce4a86c8b · outbound

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Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors 2602.22932 , archivePrefix=

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:47.224513Z

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Observation 0029752c-f2c1-4cd8-bb54-ae641cb0010e · outbound

This paper cites GPT-4 Technical Report.

Efficient Frame Selection for Long Videos at Test Time with Attention-Based MLLM Selectors GPT-4 Technical Report

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T22:38:47.340935Z

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