Shu Wan
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While restricting a model to the theoretical Markov boundary can significantly improve prediction, the practical process of discovering and using this boundary is often computationally infeasible and does not consistently outperform using the full feature set.
This paper introduces a proactive multi-modal assistant system and a large-scale dataset for procedural assistance.
Papers
Plan, Watch, Recover: A Benchmark and Architectures for Proactive Procedural Assistance
Kaustav Kundu, Ritvik Shrivastava, Maxim Arap, Nanshu Wang +12 more
This paper introduces a proactive multi-modal assistant system and a large-scale dataset for procedural assistance.