Veronika Ganeeva — accepted AI-conference papers

2025

Two Steps from Hell: Compositionality on Chemical LMs

Veronika Ganeeva, Kuzma Khrabrov, Artur Kadurin, Elena Tutubalina

EMNLP 2025

This paper investigates compositionality in chemical language models (ChemLLMs). We introduce STEPS, a benchmark with compositional questions that reflect intricate chemical structures and reactions, to evaluate models’ understanding of chemical language. Our approach focuses on identifying and anal

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2024

Lost in Translation: Chemical Language Models and the Misunderstanding of Molecule Structures

Veronika Ganeeva, Andrey Sakhovskiy, Kuzma Khrabrov, Andrey Savchenko, Artur Kadurin, Elena Tutubalina

EMNLP 2024finding

The recent integration of chemistry with natural language processing (NLP) has advanced drug discovery. Molecule representation in language models (LMs) is crucial in enhancing chemical understanding. We propose Augmented Molecular Retrieval (AMORE), a flexible zero-shot framework for assessment of…

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