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Notes on compact models
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Cumsum-Composable Phase Transport for Low-Cost Streaming Keyword Spotting
A research paper introduces Cumsum-Composable Phase Transport, a new temporal layer designed for keyword spotting in streaming speech. This method projects acoustic frames to complex channels, transports them using…
MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models
Researchers introduce MADA-RL, a framework that improves reasoning performance in compact models (up to 4 billion parameters) while reducing training cost. This is achieved by specializing the models into generator and…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
