Author

Ananya Sahu

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Preprint Aug 2026

CreativeInstruct: Scalably Teaching LLMs to Balance Quality, Creativity, and Diversity

While post-training improves the capabilities of large language models (LLMs), it generally lowers their output diversity and creativity, negatively impacting tasks that explicitly require creativity (e.g., story generation) as well as those that require it implicitly, e.g., reinforcement learning (RL). We instead prop...

Ananya Sahu, Mohit Bansal, Elias Stengel-Eskin · 0 citations

#natural language process... Preprint Sep 2026

Building Multilingual Bridges: Data Mixing as the Pillar of Generalization for In-Language Reasoning

It is shown the path to generalizing L2 reasoning to held-out languages goes through broader language coverage, readily available multilingual non-reasoning data, and a sufficient English reasoning backbone, indicating that reasoning is a language-agnostic behavior that can be transferred across typologically diverse l...

Mehrnaz Mofakhami, Ananya Sahu, Alejandro R. Salamanca et al. · 0 citations