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@Raminmousa1

📖 "A Little Book on the Fundamentals of Generative AI" - an intuitive introduction to the mathematics:

arxiv.org/pdf/2605.29713

#GenerativeAI #Mathematics #DeepLearning #AIResearch #MachineLearning #arXiv

✨ Join Best TG Channels https://t.me/addlist/0f6vfFbEMdAwODBk

@Machine_learn

🔥 TAPNext: Tracking Any Point (TAP) as Next Token Prediction

🔗 Links:
GitHub: https://github.com/huggingface
arXiv: https://arxiv.org/abs/2504.05579
PDF: https://arxiv.org/pdf/2504.05579
Project Page: https://tap-next.github.io/

@machine_learn

🔥 FrameMorrow: Future-guided Frame Selection with Prospective Tokens for Long-Horizon Video Generation
🔗 Links:
GitHub: https://github.com/huggingface
arXiv: https://arxiv.org/abs/2609.38839
PDF: https://arxiv.org/pdf/2609.38839
Project Page: https://yinbo0927.github.io/FrameMorrow/
@Machine_learn

🔥 Spatial Memory Intelligence: Endowing World Models with Understanding-Driven Long-Term Memory
🔗 Links:
GitHub: https://github.com/huggingface
arXiv: https://arxiv.org/abs/2610.02521
PDF: https://arxiv.org/pdf/2610.02521
Project Page: https://spatial-memory-intelligence.github.io/
@Machine_learn

🔥 Prism: Dynamic Sparse Attention for Native 2K Joint Video-Audio Generation Model Training

🔗 Links:
GitHub: https://github.com/huggingface
arXiv: https://arxiv.org/abs/2610.05416
PDF: https://arxiv.org/pdf/2610.05416
Project Page: https://francis-rings.github.io/Prism/
🤖 Models citing this paper:
https://huggingface.co/FrancisRing/Prism
🚀 Spaces citing this paper:
https://huggingface.co/spaces/bibibi12345/Prism
https://huggingface.co/spaces/tardellirs/model-pulse
@Machine_learn

A Comparative Survey on Large Language Models for Biological Data

Ramin Mousa,
Ali Sarabadani
Tania Taami
Amir Ali Bengari
Omid Eslamifar
Mohammad Alijanpour Shalmani

Ehsan Karimi Shahmarvandi
Correspondence: raminmousa@znu.ac.ir

@Machine_learn

🔥 OmniReasoning: Pushing the Limits of Audio-Visual Joint Reasoning
💡 Summary

🔗 Links:
GitHub: https://github.com/huggingface
arXiv: https://arxiv.org/abs/2609.39490
PDF: https://arxiv.org/pdf/2609.39490
Project Page: https://pku-value-lab.github.io/OmniReasoning-Homepage/
📊 Datasets citing this paper:
https://huggingface.co/datasets/mjuicem/OmniReasoning-131K
https://huggingface.co/datasets/mjuicem/OmniReasoningBench
@Machine_learn

🔥 EvaOmni: An Evidence-Grounded Benchmark for Audio-Visual Reasoning

🔗 Links:
GitHub: https://github.com/huggingface
arXiv: https://arxiv.org/abs/2610.28444
PDF: https://arxiv.org/pdf/2610.28444
Project Page: https://xiaoxing2001.github.io/EvaOmni.github.io/
@Machine_learn