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cs.CL2026

Right Frame, Wrong Rule: Cultural Cues Expose the Financial Knowledge Gap They Were Meant to Close

Rania Elbadry, Ahmed Heakl, Saeed Almheiri +12

When a question has valid answers under different normative frameworks, a language model must decide which framework to use and whether it can answer correctly within it. We call t…

cs.CL2026

Cultural Benchmarking of LLMs in Standard and Dialectal Arabic Dialogues

Muhammad Dehan Al Kautsar, Saeed Almheiri, Momina Ahsan +13

There is a significant gap in evaluating cultural reasoning in LLMs using conversational datasets that capture culturally rich and dialectal contexts. Most Arabic benchmarks focus…

cs.CL2026

Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection

Zhiwei Liu, Yupen Cao, Yuechen Jiang +22

Large language models (LLMs) have been widely applied across various domains of finance. Since their training data are largely derived from human-authored corpora, LLMs may inherit…

cs.CL2025

Role-Aware Language Models for Secure and Contextualized Access Control in Organizations

Saeed Almheiri, Yerulan Kongrat, Adrian Santosh +4

As large language models (LLMs) are increasingly deployed in enterprise settings, controlling model behavior based on user roles becomes an essential requirement. Existing safety m…

cs.CL2025

Commonsense Reasoning in Arab Culture

Abdelrahman Sadallah, Junior Cedric Tonga, Khalid Almubarak +7

Despite progress in Arabic large language models, such as Jais and AceGPT, their evaluation on commonsense reasoning has largely relied on machine-translated datasets, which lack c…