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--- |
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title: VideoConvictionLeaderboard |
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emoji: π |
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colorFrom: gray |
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colorTo: yellow |
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sdk: gradio |
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sdk_version: 5.31.0 |
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app_file: app.py |
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pinned: false |
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license: cc-by-nc-4.0 |
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short_description: Leaderboard for VideoConviction Dataset |
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--- |
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# VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations |
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**Paper**: [VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations](https://doi.org/10.1145/3711896.3737417) |
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**Conference**: ACM SIGKDD 2025 |
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**Authors**: Michael Galarnyk, Veer Kejriwal, Agam Shah, Yash Bhardwaj, Nicholas Watney Meyer, Anand Krishnan, Sudheer Chava |
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## Citation |
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If you use this dataset, please cite our paper: |
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```bibtex |
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@inproceedings{galarnyk2025videoconviction, |
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author = {Michael Galarnyk and Veer Kejriwal and Agam Shah and Yash Bhardwaj and Nicholas Watney Meyer and Anand Krishnan and Sudheer Chava}, |
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title = {VideoConviction: A Multimodal Benchmark for Human Conviction and Stock Market Recommendations}, |
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booktitle = {Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (KDD '25)}, |
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year = {2025}, |
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location = {Toronto, ON, Canada}, |
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pages = {12}, |
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publisher = {ACM}, |
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doi = {10.1145/3711896.3737417} |
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} |
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``` |
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