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Eddie Huang

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#machine learning Preprint Oct 2026

Searching for What Matters: Open-Ended Discovery of Multiple Hypotheses with Agentic Data Exploration

Discovering what drives an outcome from data is central to science and often requires deciding what is worth investigating before a specific hypothesis is known. Yet most existing hypothesis generation settings substantially narrow this search by providing a research question, target relationship, or curated context. W...

Sanchit Kabra, Nurendra Choudhary, Jiang-Shu Du et al. · 0 citations
Preprint Sep 2026

TASTE2: Text-Aligned Speech Modeling and Deployment toward Full-Duplex Voice Interaction

The first systematic characterization of explicit paralinguistic control in a TASTE based model is provided, which establishes TASTE based modeling as a practical route toward full-duplex systems while identifying natural conversation robustness, speech generation latency, and feature general paralinguistic control as...

Yi-Chang Chen, Chun-Wei Chen, Dien-Ruei Wu et al. · 0 citations

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