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NAVER LABS Europe ties for first in IWSLT 2026 speech processing track

NAVER LABS Europe has submitted a system to the IWSLT 2026 instruction-following speech processing short track, achieving a joint first-place ranking. Their approach involves a multi-stage training pipeline that incorporates SpeechMapper for learning a speech-to-LLM embedding projector using only ASR data. Additionally, they developed a synthetic dataset called fakACL, generated using SeamlessM4T-large-v2, to improve performance on scientific presentation tasks. This updated system surpasses last year's best performance while being more compact and utilizing a less powerful LLM backbone. AI

IMPACT This research advances speech processing capabilities by integrating LLMs and novel projection methods, potentially improving cross-lingual speech translation and understanding tasks.

RANK_REASON Submission to an academic track at a conference with a detailed paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

NAVER LABS Europe ties for first in IWSLT 2026 speech processing track

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Submission to an academic track at a conference with a detailed paper. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Marcely Zanon Boito, Hemant Yadav, Jean-Luc Meunier, Ioan Calapodescu ·

    NAVER LABS Europe Submission to the Instruction-following 2026 Short Track

    arXiv:2607.01960v1 Announce Type: new Abstract: In this paper, we describe NAVER LABS Europe's submission to the instruction-following speech processing short track at IWSLT 2026. We participate again in the constrained setting, developing systems capable of jointly performing AS…

  2. arXiv cs.CL TIER_1 English(EN) · Ioan Calapodescu ·

    NAVER LABS Europe Submission to the Instruction-following 2026 Short Track

    In this paper, we describe NAVER LABS Europe's submission to the instruction-following speech processing short track at IWSLT 2026. We participate again in the constrained setting, developing systems capable of jointly performing ASR, ST, and SQA from English speech into Chinese,…