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cs.CL2026
MemoReason: Evaluating the Effect of Parametric Memory on Contextual Reasoning in LLMs
Zineddine Tighidet, Andrea Mogini, Jiali Mei +2
Large Language Models (LLMs) perform well on reasoning benchmarks, but it remains unclear whether this reflects genuine contextual reasoning or reliance on facts memorized in their…
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…