3 papers
cs.PL2026
Representing Molecules with Algebraic Data Types: Beyond SMILES and SELFIES
Oliver Goldstein, Samuel March
Benchmarks of molecular machine learning models often treat the molecular representation as a neutral input format, yet the representation defines the syntax of validity, edit oper…
cs.LG2025
Jailbreaking Large Language Models in Infinitely Many Ways
Oliver Goldstein, Emanuele La Malfa, Felix Drinkall +2
We discuss the ``Infinitely Many Paraphrases'' attacks (IMP), a category of jailbreaks that leverages the increasing capabilities of a model to handle paraphrases and encoded commu…
cs.PL2024
Modular probabilistic programming with algebraic effects (MSc Thesis 2019)
Oliver Goldstein, Ohad Kammar
Probabilistic programming languages, which exist in abundance, are languages that allow users to calculate probability distributions defined by probabilistic programs, by using inf…