{"ID":6024134,"CreatedAt":"2026-07-08T01:00:23.257252134Z","UpdatedAt":"2026-07-09T20:17:26.950452338Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2607.05623","arxiv_id":"2607.05623","title":"NAVER LABS System Re-implementation for the IWSLT 2026 Instruction-Following Task","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.","short_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,...","url_abs":"https://arxiv.org/abs/2607.05623","url_pdf":"https://arxiv.org/pdf/2607.05623v1","authors":"[\"Anand Kamble\",\"Aniket Tathe\"]","published":"2026-07-06T20:31:41Z","proceeding":"cs.CL","tasks":"[\"cs.CL\"]","methods":"[\"Large Language Model\",\"LoRA\"]","has_code":false}