Generating Near and Far Analogies for Educational Applications: Progress and Challenges. - Mark Boger; Antonio Laverghetta; Nikolai Fetisov; John Licato (ICMLA, 2019)

Towards a Task-Agnostic Model of Difficulty Estimation for Supervised Learning Tasks. - Antonio Laverghetta; Jamshidbek Mirzakhalov; John Licato (AACL/IJCNLP (Student Research Workshop), 2020)

A Large-Scale Study of Machine Translation in Turkic Languages. - Jamshidbek Mirzakhalov; Anoop Babu; Duygu Ataman; Sherzod Kariev; Francis M. Tyers; Otabek Abduraufov; Mammad Hajili; Sardana Ivanova; Abror Khaytbaev; Antonio Laverghetta Jr.; Behzodbek Moydinboyev; Esra Onal; et al. (EMNLP (1), 2021)

Modeling Age of Acquisition Norms Using Transformer Networks. - Antonio Laverghetta Jr.; John Licato (FLAIRS, 2021)

Can Transformer Language Models Predict Psychometric Properties? - Antonio Laverghetta Jr.; Animesh Nighojkar; Jamshidbek Mirzakhalov; John Licato (*SEM, 2021)

Developmental Negation Processing in Transformer Language Models. - Antonio Laverghetta Jr.; John Licato (ACL (2), 2022)

Predicting Human Psychometric Properties Using Computational Language Models. - Antonio Laverghetta Jr.; Animesh Nighojkar; Jamshidbek Mirzakhalov; John Licato (CoRR, 2022)

Generating Better Items for Cognitive Assessments Using Large Language Models. - Antonio Laverghetta Jr.; John Licato (BEA@ACL, 2023)

No Strong Feelings One Way or Another: Re-operationalizing Neutrality in Natural Language Inference. - Animesh Nighojkar; Antonio Laverghetta Jr.; John Licato (CoRR, 2023)

The Creative Psychometric Item Generator: a Framework for Item Generation and Validation Using Large Language Models. - Antonio Laverghetta Jr.; Simone Luchini; Averie Linnell; Roni Reiter-Palmon; Roger E. Beaty (CREAI@ECAI, 2024)

Exploring Prompting Approaches in Legal Textual Entailment. - Onur Bilgin; Logan Fields; Antonio Laverghetta; Zaid Marji; Animesh Nighojkar; Stephen Steinle; John Licato (Rev. Socionetwork Strateg., 2024)

How do Humans and Language Models Reason About Creativity? A Comparative Analysis. - Antonio Laverghetta Jr.; Tuhin Chakrabarty; Tom Hope; Jimmy Pronchick; Krupa Bhawsar; Roger E. Beaty (CoRR, 2025)

Creative Preference Optimization. - Mete Ismayilzada; Antonio Laverghetta Jr.; Simone Luchini; Reet Patel; Antoine Bosselut; Lonneke van der Plas; Roger E. Beaty (CoRR, 2025)