Found 7 document(s)
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Robotic value models assess task execution from visual observations and instructions, providing feedback for policy learning and execution monitoring. However, existing evaluations cover only selected aspects of executio...
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Spoken interaction is moving from alternating turns to full-duplex conversation, where an agent listens while speaking. Learning this coordination requires natural dialogue with persistent speaker-resolved tracks, a data...
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Full-duplex speech agents must update persistent memory while listening and speaking, yet it remains unclear which events should be stored, revised, or excluded. Existing benchmarks isolate interaction timing from memory...
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Curriculum learning orders samples by difficulty, but difficulty alone does not establish supervision reliability for dense prediction. Easy samples can expose shortcuts, hard samples can be informative, and noisy or amb...
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Well-documented failure modes of machine learning (ML) systems, including bias, toxicity, hallucination, and leakage of sensitive information, has driven the rise of machine unlearning (MU). Most existing work, however, ...
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In this document we propose a scheme of packet Aggregation with Fragment-Retransmission (AFR) for the IEEE 802.11n. Simulation results show that the AFR scheme allows to meet the requirements of the IEEE 802.11n PAR, i.e...
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A rich and useful presentation of strategies for security issues, this book focuses on the increasing demand to guarantee privacy, integrity, and availability of resources in networks and distributed systems....
