most citedDynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs

5 citations · 5 across the 2 of their papers we have counts for

collaborators

2 papers

eess.AS2026

Contextual Biasing for Streaming ASR via CTC-based Word Spotting

Kai-Chen Tsai, Tien-Hong Lo, Yun-Ting Sun +1

Contextual biasing is essential to improving the recognition of rare and domain-specific words in an automatic speech recognition (ASR) system. While numerous methods have been pro…

cs.AI2023★ 5 cited

Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs

Yuxin Zhang, Lirui Zhao, Mingbao Lin +6

The ever-increasing large language models (LLMs), though opening a potential path for the upcoming artificial general intelligence, sadly drops a daunting obstacle on the way towar…