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Preprint Oct 2026

Beyond Two Tracks: Speaker-Anchored Full-Duplex Dialogue Recovery

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 requirement that remains difficult to satisfy at scale. Generative recovery offers a route from ord...

Chen Yuxuan, Xiao Yang, Jack Sun et al. · 0 citations
#artificial intelligence Preprint Oct 2026

Reference-Guided Turn-Taking Style Transfer for Full-Duplex Spoken Language Models

A single late-layer residual-stream direction is identified: a single late-layer residual-stream direction, the initiative vector, extracted from the model's own conversations without training or annotation, which transfers a speaker's turn-taking style to the model.

Chen Yuxuan, Xiao Yang, Jack Sun et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Competence-Preserving Resume Perturbations Expose Presentation Sensitivity in LLM Screening

Results show that resume-screening evaluations should assess not only whether a system identifies stronger candidates, but also whether those decisions remain stable when the same competence evidence is presented differently, and whether those decisions remain stable when the same competence evidence is presented diffe...

Qiang-Ju Chen, Xiao Yang · 0 citations
#artificial intelligence Preprint Sep 2026

Beyond the Name: Demographic Leakage in De-Identified R\'esum\'es and Evaluation Artifacts in LLM Bias Audits

De-identified r\'esum\'e screening assumes that redacting explicit fields prevents ethnocultural inference; however, recent audits attribute residual leakage to declared languages. We investigate whether eliminating language fields resolves this leakage across nine open-weight models and 620 counterfactual r\'esum\'es....

Qiang-Ju Chen, Xiao Yang · 0 citations

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