Author

Ramit Pahwa

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#machine learning Preprint Sep 2026

$\lambda$-Controlled GRPO: Turning Flow-Matching Ratio Instability into a Budgeted Resource

The method, $\lambda$-Controlled GRPO, calibrates importance-ratio behavior from this predicted law rather than from noisy empirical statistics, and allocates gradient effort across denoising steps according to their predicted cost, and keeps late-step path variance within its intended budget.

Yu-Feng Wang, Parivesh Priye, Meeshawn Marathe et al. · 0 citations

#artificial intelligence Preprint Sep 2026

VoiceLongMemEval: Do Assistants Remember How You Sounded?

VoiceLongMemEval (VLME) benchmark, where every answer depends on paralinguistic metadata attached to conversational turns, which is otherwise unrecoverable from the words alone, is presented.

Ramit Pahwa, Parivesh Priye, Apoorva Beedu · 1 citation