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cs.CL2026
Investigating the Role of Reasoning-Language Alignment in Monolingual Retrieval-Augmented Generation
Oliver Hauck, Mario Sanz-Guerrero, Katharina von der Wense
Reasoning traces improve large language models (LLMs), but current models are trained to reason mostly in English. It has been shown that forcing a model to reason in another langu…
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…