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cs.CL2026
Are We Evaluating Knowledge or Phrasing? Mitigating MCQA Sensitivity with ParaEval
João Maria Janeiro, Mathurin Videau, Andrea Caciolai +3
Multiple-choice (MCQA) benchmarks are the standard for evaluating pretrained large language models, but their reliance on log-likelihood scoring makes them unreliable. Specifically…
cs.CL2026
Omnilingual MT: Machine Translation for 1,600 Languages
Omnilingual MT Team, Belen Alastruey, Niyati Bafna +29
High-quality machine translation (MT) can scale to hundreds of languages, setting a high bar for multilingual systems. However, compared to the world's 7,000 languages, current sys…