What Drives Interactive Improvement from Feedback?
arXiv:2606.30774v1 Announce Type: new Abstract: We study when natural-language feedback produces improvement beyond the gains obtainable from repeated attempts alone.…
TraceLab: Characterizing Coding Agent Workloads for LLM Serving
arXiv:2606.30560v2 Announce Type: replace-cross Abstract: Coding agents are rapidly becoming a major application of agentic LLMs, but serving them efficiently…
Improving multichannel speech enhancement through accurate room-acoustic simulations
arXiv:2606.31552v1 Announce Type: cross Abstract: Room-acoustic simulations are widely used to augment training data for deep-learning-based speech enhancement. While most…
On the Convergence of Self-Improving Online LLM Alignment
arXiv:2606.31524v1 Announce Type: cross Abstract: The Self-Improving Alignment (SAIL) algorithm addresses distribution shift by reducing a bilevel formulation of the…
TF-MoE: Time-Frequency Mixture-of-Experts for Efficient Speech Separation
arXiv:2606.29575v2 Announce Type: replace-cross Abstract: Recent advances in speech separation (SS) have led to compact front-end models with small parameter…