Open-ended evaluation with real speech reveals that gender and accent cues cause statistically significant, task-dependent distributional shifts in recommendations from 12 large audio-language models.
Dynamic-SUPERB phase-2: A collabo- ratively expanding benchmark for measuring the capabilities of spoken language models with 180 tasks
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2representative citing papers
ASPIRin decouples speaking timing from token content via binary action space projection and applies GRPO with rule-based rewards to optimize interactivity in SLMs without semantic collapse or repetition.
citing papers explorer
-
ASPIRin: Action Space Projection for Interactivity-Optimized Reinforcement Learning in Full-Duplex Speech Language Models
ASPIRin decouples speaking timing from token content via binary action space projection and applies GRPO with rule-based rewards to optimize interactivity in SLMs without semantic collapse or repetition.