2 papers
cs.HC2026
VegaChat: A Robust Framework for LLM-Based Chart Generation and Assessment
Marko Hostnik, Rauf Kurbanov, Yaroslav Sokolov +1
Natural-language-to-visualization (NL2VIS) systems based on large language models (LLMs) have substantially improved the accessibility of data visualization. However, their further…
cs.LG2018
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
Daniil Polykovskiy, Alexander Zhebrak, Benjamin Sanchez-Lengeling +13
Generative models are becoming a tool of choice for exploring the molecular space. These models learn on a large training dataset and produce novel molecular structures with simila…