ComMer: a Framework for Compressing and Merging User Data for Personalization.
CoRR, January, 2025
ReCogLab: a framework testing relational reasoning & cognitive hypotheses on LLMs.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Evidence of Cognitive Deficits andDevelopmental Advances in Generative AI: A Clock Drawing Test Analysis.
CoRR, 2024
The Cognitive Capabilities of Generative AI: A Comparative Analysis with Human Benchmarks.
CoRR, 2024
The Ability of Large Language Models to Evaluate Constraint-satisfaction in Agent Responses to Open-ended Requests.
CoRR, 2024
Generative agent-based modeling with actions grounded in physical, social, or digital space using Concordia.
CoRR, 2023
Federated Multilingual Models for Medical Transcript Analysis.
Proceedings of the Conference on Health, Inference, and Learning, 2023
Algorithmic copywriting: automated generation of health-related advertisements to improve their performance.
Inf. Retr. J., 2021
The Automated Copywriter: Algorithmic Rephrasing of Health-Related Advertisements to Improve their Performance.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
LaVAN: Localized and Visible Adversarial Noise.
Proceedings of the 35th International Conference on Machine Learning, 2018
Risk Minimization in Structured Prediction using Orbit Loss.
CoRR, 2015