Datasets:

longvideotool
/

LongVT-Source

Tasks:

Video-Text-to-Text

Visual Question Answering

Modalities:

Languages:

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ArXiv:

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@@ -80,7 +80,7 @@ If you find LongVT useful for your research and applications, please cite using
 ```bibtex
 @misc{yang2025longvtincentivizingthinkinglong,
       title={LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling},
-      author={Zuhao Yang and Sudong Wang and Kaichen Zhang and Keming Wu and Sicong Leng and Yifan Zhang and Chengwei Qin and Shijian Lu and Xingxuan Li and Lidong Bing},
       year={2025},
       eprint={2511.20785},
       archivePrefix={arXiv},

 ```bibtex
 @misc{yang2025longvtincentivizingthinkinglong,
       title={LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling},
+      author={Zuhao Yang and Sudong Wang and Kaichen Zhang and Keming Wu and Sicong Leng and Yifan Zhang and Bo Li and Chengwei Qin and Shijian Lu and Xingxuan Li and Lidong Bing},
       year={2025},
       eprint={2511.20785},
       archivePrefix={arXiv},