Sanchit Kabra — accepted AI-conference papers

2026

DecAEvolve: Decompose, Adapt, and Evolve, or, Three Pillars of Effective LLM-based Scientific Equation Discovery

Pouya Behzadifar, Parshin Shojaee, Sanchit Kabra, Kazem Meidani, Chandan Reddy

ICML 2026poster

Finding mathematical relations underlying natural phenomena is a fundamental task in scientific discovery. Recent advances in evolutionary search with Large Language Models (LLMs) show great promise by leveraging their embedded scientific knowledge. However, discovering governing equations remains c…

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2026

LLEMA: Accelerating Materials Design via LLM-Guided Evolutionary Search

Nikhil Abhyankar, Sanchit Kabra, Saaketh Desai, Chandan K. Reddy

ICLR 2026poster

Materials discovery requires navigating vast chemical and structural spaces while satisfying multiple, often conflicting, objectives. We present LLM-guided Evolution for Materials design (**LLEMA**), a unified framework that couples the scientific knowledge embedded in large language models with che…

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