Philip John Gorinski — accepted AI-conference papers

2024

Correct and Optimal: The Regular Expression Inference Challenge

Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci, Martin Berger

IJCAI 2024poster

We propose regular expression inference (REI) as a challenge for code/language modelling, and the wider machine learning community. REI is a supervised machine learning (ML) and program optimisation task, and poses the problem of finding minimal regular expressions from examples: Given two finite se…

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2021

Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation

Ieva Staliūnaitė, Philip John Gorinski, Ignacio Iacobacci

AAAI 2021technical

Determining the plausibility of causal relations between clauses is a commonsense reasoning task that requires complex inference ability. The general approach to this task is to train a large pretrained language model on a specific dataset. However, the available training data for the task is often…

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