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cs.CL2026
From Tables to Quantified Statements: Evaluating LLM Inference Generation through Executable Verification
Mai Mohamed Eida, Gunjan Anand, Ayush Singh +1
LLMs can generate fluent descriptions from tables, but their outputs may remain logically unsupported by the structured data. We introduce STAT-TO-TEXT, a controlled task in which…
cs.CL2026
Some Dialects Are More Equal Than Others: Non-Prestigious Arabic Dialectal Bias in LLMs
Mai Mohamed Eida, Ryan Dolan, Paul de Nijs +1
Previous work on Egyptian Arabic in NLP has focused largely on the prestigious Cairene Egyptian Arabic (CEA) dialect, resulting in a lack of representation for the less prestigious…
cs.CL2025
LLMs Learn Constructions That Humans Do Not Know
Jonathan Dunn, Mai Mohamed Eida
This paper investigates false positive constructions: grammatical structures which an LLM hallucinates as distinct constructions but which human introspection does not support. Bot…