3 papers
eess.AS2026
NIM4-ASR: Towards Efficient, Robust, and Customizable Real-Time LLM-Based ASR
Yuan Xie, Jiaqi Song, Guang Qiu +9
Integrating large language models (LLMs) into automatic speech recognition (ASR) has become a mainstream paradigm in recent years. Although existing LLM-based ASR models demonstrat…
eess.AS2026
Rethinking Entropy Allocation in LLM-based ASR: Understanding the Dynamics between Speech Encoders and LLMs
Yuan Xie, Jiaqi Song, Guang Qiu +4
Integrating large language models (LLMs) into automatic speech recognition (ASR) has become a dominant paradigm. Although recent LLM-based ASR models have shown promising performan…
cs.LG2026
Personalized Federated Learning with Bidirectional Communication Compression via One-Bit Random Sketching
Jiacheng Cheng, Xu Zhang, Guanghui Qiu +3
Federated Learning (FL) enables collaborative training across decentralized data, but faces key challenges of bidirectional communication overhead and client-side data heterogeneit…