AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction | Paper Citation Record

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This paper cites Keyformer: Kv cache reduction through key tokens selection for efficient generative inference.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Keyformer: Kv cache reduction through key tokens selection for efficient generative inference

Reference 1

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Observation 3d9d42e9-f402-4e97-bc93-0c5f8c977a79 · outbound

This paper cites Visual question an- swering, 2015.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Visual question an- swering, 2015

Reference 2

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Observation d061cf7e-d4fa-4cf3-b2d0-a8356d2579db · outbound

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

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Flamingo: a visual language model for few-shot learning

Reference 3

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This paper cites METEOR: An auto- matic metric for MT evaluation with improved correlation with human judgments.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction METEOR: An auto- matic metric for MT evaluation with improved correlation with human judgments

Reference 4

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This paper cites Language Models are Few-Shot Learners.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Language Models are Few-Shot Learners

Reference 5

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This paper cites Chen and William B.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Chen and William B

Reference 6

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This paper cites Videollm-online: Online video large language model for streaming video.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Videollm-online: Online video large language model for streaming video

Reference 7

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This paper cites Gonzalez, Ion Stoica, and Eric P.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Gonzalez, Ion Stoica, and Eric P

Reference 8

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Observation 66ad7158-bae8-4ee9-bb25-68dc384440cf · outbound

This paper cites Rethinking Attention with Performers.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Rethinking Attention with Performers

Reference 9

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This paper cites Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V

Reference 10

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Observation a505b763-7b73-4d92-8951-1ce2e913d1ba · outbound

This paper cites Instructblip: Towards general-purpose vision-language models with instruction tuning, 2023.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Instructblip: Towards general-purpose vision-language models with instruction tuning, 2023

Reference 11

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Observation 6689eded-43e4-4b39-9861-ebc55cf1cfcf · outbound

This paper cites Visual question answering: A survey on techniques and common trends in recent literature, 2023.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Visual question answering: A survey on techniques and common trends in recent literature, 2023

Reference 12

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This paper cites Im- pact of green human resource management (ghrm) practices on organizational performance.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Im- pact of green human resource management (ghrm) practices on organizational performance

Reference 13

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This paper cites Model tells you what to dis- card: Adaptive KV cache compression for LLMs.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Model tells you what to dis- card: Adaptive KV cache compression for LLMs

Reference 14

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This paper cites Ego4d: Around the world in 3,000 hours of egocentric video.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Ego4d: Around the world in 3,000 hours of egocentric video

Reference 15

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This paper cites Ma-lmm: Memory-augmented large multimodal model for long-term video understanding.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Ma-lmm: Memory-augmented large multimodal model for long-term video understanding

Reference 16

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AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Unresolved cited work

Reference 17

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AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Unresolved cited work

Reference 18

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Observation 94794bb2-b37c-42a2-917c-c7035592f231 · outbound

This paper cites Long Movie Clip Classification with State-Space Video Models.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Long Movie Clip Classification with State-Space Video Models

Reference 19

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Observation 91410906-4c72-4183-9d38-0c265dcd6ed8 · outbound

This paper cites Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering

Reference 20

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This paper cites Kuehne, A.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Kuehne, A

Reference 21

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This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 22

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This paper cites Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models, 2023.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models, 2023

Reference 23

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Observation 66babe02-ab24-4c5d-b0fb-fce9938a2204 · outbound

This paper cites Swinbert: End-to-end transformers with sparse attention for video cap- tioning, 2022.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Swinbert: End-to-end transformers with sparse attention for video cap- tioning, 2022

Reference 24

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This paper cites Learning to recognize procedural activities with distant supervision.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Learning to recognize procedural activities with distant supervision

Reference 25

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This paper cites Minicache: Kv cache com- pression in depth dimension for large language models.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Minicache: Kv cache com- pression in depth dimension for large language models

Reference 26

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This paper cites Vil- bert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Vil- bert: Pretraining task-agnostic visiolinguistic representations for vision-and-language tasks

Reference 27

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This paper cites Univl: A unified video and language pre-training model for multimodal understanding and generation, 2020.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Univl: A unified video and language pre-training model for multimodal understanding and generation, 2020

Reference 28

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This paper cites Howto100m: Learning a text-video embedding by watching hundred mil- lion narrated video clips.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Howto100m: Learning a text-video embedding by watching hundred mil- lion narrated video clips

Reference 29

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This paper cites GPT-4 Technical Report.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction GPT-4 Technical Report

Reference 30

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This paper cites Training language models to follow instructions with human feedback.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Training language models to follow instructions with human feedback

Reference 31

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This paper cites Keeping your eye on the ball: Tra- jectory attention in video transformers.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Keeping your eye on the ball: Tra- jectory attention in video transformers

Reference 32

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This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 33

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This paper cites Language models are unsuper- vised multitask learners.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Language models are unsuper- vised multitask learners

Reference 34

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This paper cites Moviechat: From dense token to sparse memory for long video understanding.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Moviechat: From dense token to sparse memory for long video understanding

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This paper cites VideoBERT: A Joint Model for Video and Language Representation Learning.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction VideoBERT: A Joint Model for Video and Language Representation Learning

Reference 36

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This paper cites Plummer, Bryan Russell, and Kate Saenko.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Plummer, Bryan Russell, and Kate Saenko

Reference 37

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This paper cites Coin: A large-scale dataset for comprehensive instructional video analysis.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Coin: A large-scale dataset for comprehensive instructional video analysis

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This paper cites Llama: Open and efficient foundation lan- guage models, 2023.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Llama: Open and efficient foundation lan- guage models, 2023

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This paper cites CIDEr: Consensus-based Image Description Evaluation.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction CIDEr: Consensus-based Image Description Evaluation

Reference 40

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This paper cites Git: A generative image-to-text transformer for vision and language, 2022.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Git: A generative image-to-text transformer for vision and language, 2022

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This paper cites Selective structured state-spaces for long-form video understanding.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Selective structured state-spaces for long-form video understanding

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This paper cites Selective structured state-spaces for long-form video understanding.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Selective structured state-spaces for long-form video understanding

Reference 43

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This paper cites Temporal segment networks for action recognition in videos, 2017.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Temporal segment networks for action recognition in videos, 2017

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This paper cites Towards Long- Form Video Understanding.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Towards Long- Form Video Understanding

Reference 45

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This paper cites Efficient streaming language models with attention sinks.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Efficient streaming language models with attention sinks

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:18:52.852767Z

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Observation 5db191bf-582b-42a4-aae7-78b4d46c826c · outbound

This paper cites mplug-2: A modularized multi-modal foundation model across text, image and video, 2023.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction mplug-2: A modularized multi-modal foundation model across text, image and video, 2023

Reference 47

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Observation c07de36d-fa67-4162-94ed-11b3435b0afe · outbound

This paper cites Msr-vtt: A large video description dataset for bridging video and language.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Msr-vtt: A large video description dataset for bridging video and language

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Observation 7e9436db-1f67-4dac-b7ed-f23d50b24f5d · outbound

This paper cites Videococa: Video- text modeling with zero-shot transfer from contrastive cap- tioners, 2023.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Videococa: Video- text modeling with zero-shot transfer from contrastive cap- tioners, 2023

Reference 49

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This paper cites Stacked attention networks for image question answering.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Stacked attention networks for image question answering

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Observation 2857f9ec-ec6f-45bd-953d-08344b617ec9 · outbound

This paper cites Scaling vision transformers, 2022.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Scaling vision transformers, 2022

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:18:52.793904Z

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Observation 0333f01d-dfe9-4fb5-89eb-902d1b851174 · outbound

This paper cites Video-llama: An instruction-tuned audio-visual language model for video un- derstanding, 2023.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Video-llama: An instruction-tuned audio-visual language model for video un- derstanding, 2023

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:18:52.780995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a3e1a175-0111-4a5d-83e1-c1902a5a5706 · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 53

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Source-reported events for the cited work

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Observation a73a199a-10d1-476b-ac92-6badf7163f57 · outbound

This paper cites H2o: Heavy-hitter oracle for efficient generative inference of large language models.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction H2o: Heavy-hitter oracle for efficient generative inference of large language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:18:52.767157Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd4519f6-10fb-4168-bcd2-244b465266f9 · outbound

This paper cites Towards automatic learning of procedures from web instructional videos.

AdaCM$^2$: On Understanding Extremely Long-Term Video with Adaptive Cross-Modality Memory Reduction Towards automatic learning of procedures from web instructional videos

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T17:18:52.752733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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