IFMTBench: A Comprehensive Benchmark for Multilingual Translation Instruction Following 事件

IFMTBench: A Comprehensive Benchmark for Multilingual Translation Instruction Following arXiv:2605.28218v1 Announce Type: new Abstract: Modern translation workflows demand more than semantic equivalence. Users routinely require models to preserve JSON or HTML schemas, honor curated glossaries, disambiguate with provided context, and match prescribed registers, often several at once. Conventional metrics such as BLEU and xCOMET capture semantic fidelity but provide little signal on constraint ad