🌐 Multilingual & Translation

📷 CVPR2026 · 2 paper notes

MMTIT-Bench: A Multilingual and Multi-Scenario Benchmark with Cognition-Perception-Reasoning Guided Text-Image Machine Translation

This paper constructs MMTIT-Bench, a multilingual multi-scenario text-image translation benchmark covering 14 non-English non-Chinese languages, and proposes the CPR-Trans data paradigm (Cognition → Perception → Translation Reasoning). The approach significantly improves end-to-end translation quality on 3B and 7B models, with the 7B model achieving performance competitive with a 235B model.

SEA-Vision: A Multilingual Benchmark for Document and Scene Text Understanding in Southeast Asia

This paper introduces SEA-Vision, a benchmark that unifies evaluation of document parsing (15,234 pages) and text-centric VQA (7,496 QA pairs) across 11 Southeast Asian languages. A re-rendering strategy eliminates visual–textual misalignment in multilingual VQA, revealing severe performance degradation of 3–7× for MLLMs on low-resource SEA languages.