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NAVER LABS System Re-implementation for the IWSLT 2026 Instruction-Following Task

NAVER LABS re-implements its IWSLT 2025 instruction-following pipeline for the IWSLT 2026 Shared Task (constrained condition, short audio track), adapting to mandated components: SeamlessM4T-v2-large as speech encoder and Qwen3-4B-Instruct as LLM backbone. The three-stage approach (projector alignment, text-only LoRA pre-training, multimodal merging) is preserved. Additionally, 100k synthetic instruction-following examples across ten speech-centric task types (10k per task) are constructed. The primary model achieves COMET 0.781 on EN-ZH speech translation and BERTScore-F1 0.346 on English SQA on the MCIF benchmark.

SourcearXiv Computational LinguisticsAuthor: Anand Kamble, Aniket Tathe

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[Submitted on 6 Jul 2026]

Title:NAVER LABS System Re-implementation for the IWSLT 2026 Instruction-Following Task

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Abstract:We re-implement the NAVER LABS IWSLT 2025 instruction-following pipeline for the IWSLT 2026 Shared Task (constrained condition, short audio track), adapting it to the mandated components: SeamlessM4T-v2-large as the speech encoder and Qwen3-4B-Instruct as the LLM backbone. The three-stage approach projector alignment, text-only LoRA pre-training, and multimodal merging is preserved from the original design. We additionally construct 100k synthetic instruction-following examples across ten speech-centric task types (10k per task) from the provided corpora, suitable for further Stage 3 fine-tuning. Our primary model achieves COMET 0.781 on EN-ZH speech translation and BERTScore-F1 0.346 on English SQA on the MCIF benchmark.

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Computation and Language (cs.CL)

Cite as: arXiv:2607.05623 [cs.CL]

(or arXiv:2607.05623v1 [cs.CL] for this version)

https://doi.org/10.48550/arXiv.2607.05623

arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Anand Kamble [view email] [v1] Mon, 6 Jul 2026 20:31:41 UTC (82 KB)

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