✨FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs
📝 Summary:
FutureOmni is the first benchmark evaluating multimodal models ability to forecast future events from audio-visual data. Current models struggle, particularly with speech-heavy scenarios. The paper proposes an improved training strategy, Omni-Modal Future Forecasting, which enhances performance a...
🔹 Publication Date: Published on Jan 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2601.13836
• PDF: https://arxiv.org/pdf/2601.13836
• Project Page: https://openmoss.github.io/FutureOmni
• Github: https://openmoss.github.io/FutureOmni
✨ Datasets citing this paper:
• https://huggingface.co/datasets/OpenMOSS-Team/FutureOmni
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For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#MultimodalLLMs #FutureForecasting #AIResearch #DeepLearning #Benchmarking
📝 Summary:
FutureOmni is the first benchmark evaluating multimodal models ability to forecast future events from audio-visual data. Current models struggle, particularly with speech-heavy scenarios. The paper proposes an improved training strategy, Omni-Modal Future Forecasting, which enhances performance a...
🔹 Publication Date: Published on Jan 20
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2601.13836
• PDF: https://arxiv.org/pdf/2601.13836
• Project Page: https://openmoss.github.io/FutureOmni
• Github: https://openmoss.github.io/FutureOmni
✨ Datasets citing this paper:
• https://huggingface.co/datasets/OpenMOSS-Team/FutureOmni
==================================
For more data science resources:
✓ https://xn--r1a.website/DataScienceT
#MultimodalLLMs #FutureForecasting #AIResearch #DeepLearning #Benchmarking