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20242026
most citedLarge Language Models Discriminate Against Speakers of German Dialects

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cs.CL2026

Dating the Model: Hidden Dates in System Prompts Affect LLM Evaluation

Mario Sanz-Guerrero, Minh Duc Bui, Manuel Mager +1

Reproducibility is essential for scientific research, yet prior work shows that LLM outputs vary with hardware and batching. We identify an overlooked factor: the hidden injection…

cs.CL2026

Perspectives on Cross-Lingual Consistency in LLMs for Medical Questions

Minh Duc Bui, Mario Sanz-Guerrero, Abteen Ebrahimi +4

Should multilingual LLMs answer medical questions consistently across input languages, or adapt responses to cultural cues? Existing multilingual medical benchmarks usually assume…

cs.CL2026

From If-Statements to ML Pipelines: Revisiting Bias in Code-Generation

Minh Duc Bui, Xenia Heilmann, Mattia Cerrato +2

Prior work evaluates code generation bias primarily through simple conditional statements, which represent only a narrow slice of real-world programming and reveal solely overt, ex…

cs.CL2026

Greater accessibility can amplify discrimination in generative AI

Carolin Holtermann, Minh Duc Bui, Kaitlyn Zhou +3

Hundreds of millions of people rely on large language models (LLMs) for education, work, and even healthcare. Yet these models are known to reproduce and amplify social biases pres…

cs.CL2026

Meenz bleibt Meenz, but Large Language Models Do Not Speak Its Dialect

Minh Duc Bui, Manuel Mager, Peter Herbert Kann +1

Meenzerisch, the dialect spoken in the German city of Mainz, is also the traditional language of the Mainz carnival, a yearly celebration well known throughout Germany. However, Me…