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20222025
most citedSynthetic Query Generation using Large Language Models for Virtual Assistants

10 citations · 13 across the 8 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

Instituto de Telecomunicações at IWSLT 2025: Aligning Small-Scale Speech and Language Models for Speech-to-Text Learning

Giuseppe Attanasio, Sonal Sannigrahi, Ben Peters +1

This paper presents the IT-IST submission to the IWSLT 2025 Shared Task on Instruction Following Speech Processing. We submit results for the Short Track, i.e., speech recognition,…

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.CL2023★ 1 cited

Investigating Lexical Sharing in Multilingual Machine Translation for Indian Languages

Sonal Sannigrahi, Rachel Bawden

Multilingual language models have shown impressive cross-lingual transfer ability across a diverse set of languages and tasks. To improve the cross-lingual ability of these models,…

cs.CL2023

Are the Best Multilingual Document Embeddings simply Based on Sentence Embeddings?

Sonal Sannigrahi, Josef van Genabith, Cristina Espana-Bonet

Dense vector representations for textual data are crucial in modern NLP. Word embeddings and sentence embeddings estimated from raw texts are key in achieving state-of-the-art resu…

cs.CL2022★ 2 cited

Isomorphic Cross-lingual Embeddings for Low-Resource Languages

Sonal Sannigrahi, Jesse Read

Cross-Lingual Word Embeddings (CLWEs) are a key component to transfer linguistic information learnt from higher-resource settings into lower-resource ones. Recent research in cross…