4 citations · 14 across the 19 of their papers we have counts for
5 papers · 1 filter
Generics are puzzling. Can language models find the missing piece?
Gustavo Cilleruelo Calderón, Emily Allaway, Barry Haddow +1
Generic sentences express generalisations about the world without explicit quantification. Although generics are central to everyday communication, building a precise semantic fram…
Bridging the Language Gaps in Large Language Models with Inference-Time Cross-Lingual Intervention
Weixuan Wang, Minghao Wu, Barry Haddow +1
Large Language Models (LLMs) have shown remarkable capabilities in natural language processing but exhibit significant performance gaps among different languages. Most existing app…
Sharing Matters: Analysing Neurons Across Languages and Tasks in LLMs
Weixuan Wang, Barry Haddow, Minghao Wu +2
Large language models (LLMs) have revolutionized the field of natural language processing (NLP), and recent studies have aimed to understand their underlying mechanisms. However, m…
Compact Speech Translation Models via Discrete Speech Units Pretraining
Tsz Kin Lam, Alexandra Birch, Barry Haddow
We propose a pretraining method to use Self-Supervised Speech (SSS) model to creating more compact Speech-to-text Translation. In contrast to using the SSS model for initialization…
Prosody in Cascade and Direct Speech-to-Text Translation: a case study on Korean Wh-Phrases
Giulio Zhou, Tsz Kin Lam, Alexandra Birch +1
Speech-to-Text Translation (S2TT) has typically been addressed with cascade systems, where speech recognition systems generate a transcription that is subsequently passed to a tran…