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Sponsored Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Pyt

Author

Ze-Yu Wang

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2 papers indexed here

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Preprint Sep 2026

Learning to Reason with Compressed Context: Ground-Truth-Free Adaptation of OmniLLMs via Self-Distillation

Omni-modal large language models (OmniLLMs) enable unified audio-video understanding, but their long multimodal token sequences make deployment computationally expensive. Token compression reduces this cost, yet aggressive compression often lowers accuracy. Existing works predominantly focus on designing better compres...

Jiang-Hao Wang, Ke Meng, Jian Li et al. · 0 citations
#artificial intelligence Review Sep 2026

Video Generation Models: A Survey of Post-Training and Alignment

This survey aims to provide a structured conceptual foundation and practical guidance for advancing controllable and reliable video generation models and frame post-training as a unifying framework and distinguish between implicit alignment and explicit alignment based on how alignment signals are enforced.

Chaoyu Li, Xiaoyi Gu, Yogesh Kulkarni et al. · 3 citations

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