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

Reasoning language models have made substantial advances on a variety of complex tasks, yet their capabilities remain overwhelmingly English-centric: models primarily reason in English regardless of the language they are prompted in. This is inaccessible for non-English-speaking users, risks losing the intent of the or...

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