Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning?

Video question answering via gradually refined attention over appearance and motion

Dejing Xu, Zhou Zhao, Jun Xiao, Fei Wu, Hanwang Zhang, Xiangnan He, and Yueting Zhuang · 2017

Earlier work this paper cites.

Activitynet-qa: A dataset for understanding complex web videos via question answering

Zhou Yu, Dejing Xu, Jun Yu, Ting Yu, Zhou Zhao, Yueting Zhuang, and Dacheng Tao · 2019

Earlier work this paper cites.

Next-qa: Next phase of question-answering to explaining temporal actions

Junbin Xiao, Xindi Shang, Angela Yao, and Tat-Seng Chua · 2021

Earlier work this paper cites.

Chain-of-thought prompting elicits reasoning in large language models

Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022

Earlier work this paper cites.

Minigpt-4: Enhancing vision-language understanding with advanced large language models

Original

Deyao Zhu, Jun Chen, Xiaoqian Shen, Xiang Li, and Mohamed Elhoseiny · 2023

Earlier work this paper cites.

Minigpt-5: Interleaved vision-and-language generation via generative vokens

Original

Kaizhi Zheng, Xuehai He, and Xin Eric Wang · 2023

Earlier work this paper cites.

Making llama see and draw with seed tokenizer

Original

Yuying Ge, Sijie Zhao, Ziyun Zeng, Yixiao Ge, Chen Li, Xintao Wang, and Ying Shan · 2023

Earlier work this paper cites.

Videochat: Chat-centric video understanding

Original

KunChang Li, Yinan He, Yi Wang, Yizhuo Li, Wenhai Wang, Ping Luo, Yali Wang, Limin Wang, and Yu Qiao · 2023

Earlier work this paper cites.

Video-chatgpt: Towards detailed video understanding via large vision and language models

Original

Muhammad Maaz, Hanoona Rasheed, Salman Khan, and Fahad Shahbaz Khan · 2023

Earlier work this paper cites.

Mmbench: Benchmarking end-to-end multi-modal dnns and understanding their hardware-software implications

Cheng Xu, Xiaofeng Hou, Jiacheng Liu, Chao Li, Tianhao Huang, Xiaozhi Zhu, Mo Niu, Lingyu Sun, Peng Tang, Tongqiao Xu, et al · 2023

Earlier work this paper cites.

Deepseekmath: Pushing the limits of mathematical reasoning in open language models

Original

Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Xiao Bi, Haowei Zhang, Mingchuan Zhang, YK Li, Y Wu, et al · 2024

Earlier work this paper cites.

Introducing openai o1

OpenAI · 2024

Earlier work this paper cites.

Gemini-2.0-flash-thinking, 2024

Google · 2024

Earlier work this paper cites.

Thinking in space: How multimodal large language models see, remember, and recall spaces

Original

Jihan Yang, Shusheng Yang, Anjali W Gupta, Rilyn Han, Li Fei-Fei, and Saining Xie · 2024

Earlier work this paper cites.

Mmworld: Towards multi-discipline multi-faceted world model evaluation in videos

Original

Xuehai He, Weixi Feng, Kaizhi Zheng, Yujie Lu, Wanrong Zhu, Jiachen Li, Yue Fan, Jianfeng Wang, Linjie Li, Zhengyuan Yang, et al · 2024

Earlier work this paper cites.

Mvbench: A comprehensive multi-modal video understanding benchmark

Kunchang Li, Yali Wang, Yinan He, Yizhuo Li, Yi Wang, Yi Liu, Zun Wang, Jilan Xu, Guo Chen, Ping Luo, et al · 2024

Earlier work this paper cites.

Tempcompass: Do video llms really understand videos?

Original

Yuanxin Liu, Shicheng Li, Yi Liu, Yuxiang Wang, Shuhuai Ren, Lei Li, Sishuo Chen, Xu Sun, and Lu Hou · 2024

Earlier work this paper cites.

Video-mme: The first-ever comprehensive evaluation benchmark of multi-modal llms in video analysis

Original

Chaoyou Fu, Yuhan Dai, Yongdong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, et al · 2024

Cited alongside, same era.

Visdiahalbench: A visual dialogue benchmark for diagnosing hallucination in large vision-language models

Qingxing Cao, Junhao Cheng, Xiaodan Liang, and Liang Lin · 2024

Cited alongside, same era.

Cogvlm2: Visual language models for image and video understanding

Original

Wenyi Hong, Weihan Wang, Ming Ding, Wenmeng Yu, Qingsong Lv, Yan Wang, Yean Cheng, Shiyu Huang, Junhui Ji, Zhao Xue, et al · 2024

Cited alongside, same era.

Internvl: Scaling up vision foundation models and aligning for generic visual-linguistic tasks

Zhe Chen, Jiannan Wu, Wenhai Wang, Weijie Su, Guo Chen, Sen Xing, Muyan Zhong, Qinglong Zhang, Xizhou Zhu, Lewei Lu, et al · 2024

Cited alongside, same era.

Video instruction tuning with synthetic data

Mmvu: Measuring expert-level multi-discipline video understanding

Original

Yilun Zhao, Lujing Xie, Haowei Zhang, Guo Gan, Yitao Long, Zhiyuan Hu, Tongyan Hu, Weiyuan Chen, Chuhan Li, Junyang Song, et al · 2025

Closest in time.

Vcr-bench: A comprehensive evaluation framework for video chain-of-thought reasoning

Original

Yukun Qi, Yiming Zhao, Yu Zeng, Xikun Bao, Wenxuan Huang, Lin Chen, Zehui Chen, Jie Zhao, Zhongang Qi, and Feng Zhao · 2025

Closest in time.

Video-mmmu: Evaluating knowledge acquisition from multi-discipline professional videos

Original

Kairui Hu, Penghao Wu, Fanyi Pu, Wang Xiao, Yuanhan Zhang, Xiang Yue, Bo Li, and Ziwei Liu · 2025

Closest in time.

V-star: Benchmarking video-llms on video spatio-temporal reasoning

Original

Zixu Cheng, Jian Hu, Ziquan Liu, Chenyang Si, Wei Li, and Shaogang Gong · 2025

Closest in time.