CUNI-NL@IWSLT 2025: End-to-end Offline Speech Translation and Instruction Following with LLMs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F25%3A10511622" target="_blank" >RIV/00216208:11320/25:10511622 - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2025.iwslt-1.28/" target="_blank" >https://aclanthology.org/2025.iwslt-1.28/</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.18653/v1/2025.iwslt-1.28" target="_blank" >10.18653/v1/2025.iwslt-1.28</a>
Alternative languages
Result language
angličtina
Original language name
CUNI-NL@IWSLT 2025: End-to-end Offline Speech Translation and Instruction Following with LLMs
Original language description
This paper describes the CUNI-NL team's submission to the IWSLT 2025 Offline Speech Translation and Instruction Following tasks, focusing on transcribing the English audio and translating the English audio to German text. Our systems follow the end-to-end approach, where each system consists of a pretrained, frozen speech encoder, along with a medium-sized large language model fine-tuned with LoRA on three tasks: 1) transcribing the English audio; 2) directly translating the English audio to German text; and 3) a combination of the above two tasks, i.e., simultaneously transcribing the English audio and translating the English audio to German text.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/EH23_020%2F0008518" target="_blank" >EH23_020/0008518: Linguistics, Artificial Intelligence and Language and Speech Technologies: from Research to Applications</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 22nd International Conference on Spoken Language Translation (IWSLT 2025)
ISBN
979-8-89176-272-5
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
282-288
Publisher name
Association for Computational Linguistics
Place of publication
Kerrville, TX, USA
Event location
Wien, Austria
Event date
Jul 31, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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