WMT25
PulseAugur coverage of WMT25 — every cluster mentioning WMT25 across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New study reveals principles for effective LLM-based machine translation evaluation
Researchers have conducted a systematic study on Large Language Model (LLM)-based machine translation evaluators, investigating how factors like instruction design, few-shot examples, and the choice of backbone model in…
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UvA-MT leverages LLMs for WMT26 translation task with novel sampling and voting
Researchers from UvA-MT have detailed their approach for the WMT26 General Machine Translation shared task, focusing on the unconstrained track across 23 translation directions. Their method heavily utilizes Large Langu…
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New method creates pseudo-references for machine translation evaluation
Researchers have developed a novel method for creating pseudo-references for machine translation evaluation, particularly for language pairs lacking human-generated references. This approach involves using multiple MT m…