NAVER LABS Europe Submission to the Instruction-following Track
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Abstract (arXiv)
In this paper we describe NAVER LABS Europe submission to the instruction-following speech processing short track at IWSLT 2025. We participate in the constrained settings, developing systems that can simultaneously perform ASR, ST, and SQA tasks from English speech input into the following target languages: Chinese, Italian, and German. Our solution leverages two pretrained modules: (1) a speech-to-LLM embedding projector trained using representations from the SeamlessM4T-v2-large speech encoder; and (2) LoRA adapters trained on text data on top of a Llama-3.1-8B-Instruct. These modules are jointly loaded and further instruction-tuned for 1K steps on multilingual and multimodal data to form our final system submitted for evaluation.
Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 23 of its 29 references that are in the map. First posted on arXiv 2 Jun 2025.
Builds on
23 of 29 references.
References · 23
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11 more
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Built on by
Citing papers per year: 2026: 5.
5 papers.
- 2026SpeechMapper: Speech-to-text Embedding Projector for LLMscited by 4
- 2026MEUSLI: a Multilingual Projector for LLM-based ASR and Beyondcited by 1
- 2026FBK's Long-form SpeechLLMs for IWSLT 2026 Instruction Followingcited by 0
- 2026NAVER LABS Europe Submission to the Instruction-following 2026 Short Trackcited by 0
- 2026NAVER LABS System Re-implementation for the IWSLT 2026 Instruction-Following Taskcited by 0
- 2026MEUSLI: a Multilingual Projector for LLM-based ASR and Beyond24 Jul 2026
- 2026NAVER LABS System Re-implementation for the IWSLT 2026 Instruction-Following Task6 Jul 2026
- 2026NAVER LABS Europe Submission to the Instruction-following 2026 Short Track2 Jul 2026
- 2026FBK's Long-form SpeechLLMs for IWSLT 2026 Instruction Following25 Jun 2026
- 2026SpeechMapper: Speech-to-text Embedding Projector for LLMs28 Jan 2026