most citedILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale

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cs.LG2025

Test-Time Scaling in Diffusion LLMs via Hidden Semi-Autoregressive Experts

Jihoon Lee, Hoyeon Moon, Kevin Zhai +6

Diffusion-based large language models (dLLMs) are trained flexibly to model extreme dependence in the data distribution; however, how to best utilize this information at inference…

cs.LG2025

MIRA: Towards Mitigating Reward Hacking in Inference-Time Alignment of T2I Diffusion Models

Kevin Zhai, Utsav Singh, Anirudh Thatipelli +5

Diffusion models excel at generating images conditioned on text prompts, but the resulting images often do not satisfy user-specific criteria measured by scalar rewards such as Aes…