CUNI-NL@IWSLT 2025: End-to-end Offline Speech Translation and Instruction Following with LLMs
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 mediumsized 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.
Authors
- Ondřej Bojar (ORCID: https://orcid.org/0000-0002-0606-0050)
- Nam Luu
Institutions
- Charles University (CZ)
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.iwslt-1.28
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00