Author

Muhammad Aurangzeb Ahmad

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#artificial intelligence Preprint Sep 2026

Fair Fact-Checking: Closing the Cross-Lingual Gap in LLM Factual Judgement with RoSh

Misinformation on social media remains a critical problem, and more and more people settle it by asking a language model instead of a fact checker. Whether models judge such claims reliably is debated; whether they judge them equally well in every language people ask in has gone almost unasked. We test eight models fro...

Muhammad Ahmad, Fatemeh Seyedin, Adrian Weller et al. · 0 citations

#artificial intelligence Review Aug 2026

Measurement Validity in LLM Cultural Alignment

Researchers increasingly treat LLM survey responses as a proxy for human cultural values. This includes projecting model outputs onto instruments like the Inglehart-Welzel Cultural Map and drawing conclusions about which cultures a model resembles. While a model's answer to a value-laden questions may be interpreted as...

Anntika Nguyen, Muhammad Ahmad · 1 citation