184 citations · 271 across the 22 of their papers we have counts for
25 papers
Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing
Hao Zhang, Felix Stahlberg, Shankar Kumar
Large Language Models (LLMs) excel at rewriting tasks such as text style transfer and grammatical error correction. While there is considerable overlap between the inputs and outpu…
Dynamic Subset Tuning: Expanding the Operational Range of Parameter-Efficient Training for Large Language Models
Felix Stahlberg, Jared Lichtarge, Shankar Kumar
We propose a novel parameter-efficient training (PET) method for large language models that adapts models to downstream tasks by optimizing a small subset of the existing model par…
Long-Form Speech Translation through Segmentation with Finite-State Decoding Constraints on Large Language Models
Arya D. McCarthy, Hao Zhang, Shankar Kumar +2
One challenge in speech translation is that plenty of spoken content is long-form, but short units are necessary for obtaining high-quality translations. To address this mismatch,…
Towards an On-device Agent for Text Rewriting
Yun Zhu, Yinxiao Liu, Felix Stahlberg +7
Large Language Models (LLMs) have demonstrated impressive capabilities for text rewriting. Nonetheless, the large sizes of these models make them impractical for on-device inferenc…
Semantic Segmentation with Bidirectional Language Models Improves Long-form ASR
W. Ronny Huang, Hao Zhang, Shankar Kumar +2
We propose a method of segmenting long-form speech by separating semantically complete sentences within the utterance. This prevents the ASR decoder from needlessly processing fara…
Measuring Re-identification Risk
CJ Carey, Travis Dick, Alessandro Epasto +8
Compact user representations (such as embeddings) form the backbone of personalization services. In this work, we present a new theoretical framework to measure re-identification r…