2 papers
eess.AS2026
Reducing the Output-Mode Gap in Speech Language Models via Joint-Output On-Policy Distillation
Daxin Tan, Dehua Tao, Chengxi Deng +2
Autoregressive generation of interleaved text and acoustic tokens is a common approach to spoken-response generation in speech large language models. Although this design enables s…
cs.CV2026
Learning-State-Aware Dynamic Generative Data Augmentation on Small-Scale Datasets
Ting Xiang, Chenxi Deng, Jinhui Zhao +4
Small-scale image classification is often limited by the scarcity of training data. Generative data augmentation (GDA) based on pretrained generative models has emerged as an effec…