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20182026
most citedAnalyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation

5 citations · 12 across the 7 of their papers we have counts for

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10 papers · 1 filter

cs.CL2026

F-Actor: Controllable Conversational Behaviour in Full-Duplex Models

Maike Züfle, Ondrej Klejch, Nicholas Sanders +3

Spoken conversational systems require more than accurate speech generation to have human-like conversations: to feel natural and engaging, they must produce conversational behaviou…

cs.CL20251 cited

The Prosody of Emojis

Giulio Zhou, Tsz Kin Lam, Alexandra Birch +1

Prosodic features such as pitch, timing, and intonation are central to spoken communication, conveying emotion, intent, and discourse structure. In text-based settings, where these…

cs.CL2025

From TOWER to SPIRE: Adding the Speech Modality to a Translation-Specialist LLM

Kshitij Ambilduke, Ben Peters, Sonal Sannigrahi +5

We introduce Spire, a speech-augmented language model (LM) capable of both translating and transcribing speech input from English into 10 other languages as well as translating tex…

cs.CL2025

Prepending or Cross-Attention for Speech-to-Text? An Empirical Comparison

Tsz Kin Lam, Marco Gaido, Sara Papi +2

Following the remarkable success of Large Language Models (LLMs) in NLP tasks, there is increasing interest in extending their capabilities to speech -- the most common form of com…

cs.CL2024

Pitfalls and Outlooks in Using COMET

Vilém Zouhar, Pinzhen Chen, Tsz Kin Lam +2

The COMET metric has blazed a trail in the machine translation community, given its strong correlation with human judgements of translation quality. Its success stems from being a…

cs.CL2024

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…