Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model | Paper Citation Record

Observation a07b24ca-6e2a-4635-858e-02e5d81925f1 · outbound

This paper cites GPT-4 Technical Report.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model GPT-4 Technical Report

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This paper cites PaliGemma: A versatile 3B VLM for transfer.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model PaliGemma: A versatile 3B VLM for transfer

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This paper cites Video generation models as world simulators.OpenAI Blog, 1:8, 2024.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Video generation models as world simulators.OpenAI Blog, 1:8, 2024

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This paper cites Gaia: Rethinking action quality assessment for ai-generated videos.Advances in Neural Information Processing Systems, 37:40111–40144, 2024.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Gaia: Rethinking action quality assessment for ai-generated videos.Advances in Neural Information Processing Systems, 37:40111–40144, 2024

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This paper cites FineVQ: Fine-Grained User Generated Content Video Quality Assessment.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model FineVQ: Fine-Grained User Generated Content Video Quality Assessment

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This paper cites Slowfast networks for video recognition.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Slowfast networks for video recognition

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This paper cites LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model LMM-VQA: Advancing Video Quality Assessment with Large Multimodal Models

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This paper cites The Llama 3 Herd of Models.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model The Llama 3 Herd of Models

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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This paper cites Deep residual learning for image recognition.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Deep residual learning for image recognition

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This paper cites VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation

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This paper cites CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

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This paper cites Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Lora: Low-rank adaptation of large language models.ICLR, 1(2):3, 2022

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This paper cites VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models

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This paper cites T2vbench: Benchmarking temporal dynamics for text-to- video generation.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model T2vbench: Benchmarking temporal dynamics for text-to- video generation

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This paper cites VQA$^2$: Visual Question Answering for Video Quality Assessment.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model VQA$^2$: Visual Question Answering for Video Quality Assessment

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This paper cites MANTIS: Interleaved Multi-Image Instruction Tuning.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model MANTIS: Interleaved Multi-Image Instruction Tuning

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This paper cites The Kinetics Human Action Video Dataset.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model The Kinetics Human Action Video Dataset

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This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model HunyuanVideo: A Systematic Framework For Large Video Generative Models

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This paper cites Subjective-aligned dataset and metric for text-to-video qual- ity assessment.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Subjective-aligned dataset and metric for text-to-video qual- ity assessment

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Unresolved cited work

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Blip-2: Bootstrapping language-image pre-training with frozen image encoders and large language models

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Unmasked teacher: Towards training-efficient video foundation models

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Evaluating text-to-visual generation with image-to-text gen- eration

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Evalcrafter: Benchmarking and eval- uating large video generation models

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Fetv: A bench- mark for fine-grained evaluation of open-domain text-to- video generation.Advances in Neural Information Process- ing Systems, 36, 2024

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model A convnet for the 2020s

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Video swin transformer

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Comprehensive subjective and objective evaluation method for text-generated video.arXiv preprint arXiv:2501.08545, 2025

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Exploring video quality assessment on user gener- ated contents from aesthetic and technical perspectives

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

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Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Ntire 2025 xgc quality assessment challenge: Methods and results.CVPR Workshop, 2025

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Observation f0a91cb3-f3a7-4f3b-b077-ae9e4c66857c · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.Advances in Neural Information Pro- cessing Systems, 36:15903–15935, 2023.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Imagere- ward: Learning and evaluating human preferences for text- to-image generation.Advances in Neural Information Pro- cessing Systems, 36:15903–15935, 2023

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Resolution: unresolved; no resolver link, observed 2026-08-07T10:40:44.301982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4ac5347-e102-48d8-8855-c34593cfa4f2 · outbound

This paper cites Imagere- ward: Learning and evaluating human preferences for text- to-image generation.Advances in Neural Information Pro- cessing Systems, 36, 2024.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Imagere- ward: Learning and evaluating human preferences for text- to-image generation.Advances in Neural Information Pro- cessing Systems, 36, 2024

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:40:44.708029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1cb4c45e-3c98-40cd-809e-609daf22a195 · outbound

This paper cites Qwen2.5 Technical Report.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Qwen2.5 Technical Report

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T10:40:44.309647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b071af26-8d4c-4a8a-aa99-61b0b8eaa9f5 · outbound

This paper cites Chronomagic-bench: A bench- mark for metamorphic evaluation of text-to-time-lapse video generation.Advances in Neural Information Processing Sys- tems, 37:21236–21270, 2024.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Chronomagic-bench: A bench- mark for metamorphic evaluation of text-to-time-lapse video generation.Advances in Neural Information Processing Sys- tems, 37:21236–21270, 2024

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:40:44.696715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9ffb76a0-0386-44f1-bab9-528dcac89c26 · outbound

This paper cites Sigmoid loss for language image pre-training.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Sigmoid loss for language image pre-training

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T10:40:44.316789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 86fbed20-9b37-4249-8fee-373b6ee76418 · outbound

This paper cites Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Q-Eval-100K: Evaluating Visual Quality and Alignment Level for Text-to-Vision Content

Reference 56

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:40:44.365547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 03188bb0-db5f-41f1-a1fd-eb982ab514e2 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Judging llm-as-a-judge with mt-bench and chatbot arena.Advances in Neural Information Processing Systems, 36:46595–46623, 2023

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:40:44.679396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f0b9a4e7-9957-4256-9693-8c4568e6499d · outbound

This paper cites Open-sora: Democratizing efficient video production for all, march 2024.URL https://github.

Towards Holistic Visual Quality Assessment of AI-Generated Videos: A LLM-Based Multi-Dimensional Evaluation Model Open-sora: Democratizing efficient video production for all, march 2024.URL https://github

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T10:40:44.668091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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