Thomas Lukasiewicz
Professor Thomas Lukasiewicz
Themes:
- Artificial Intelligence and Machine Learning
- Data, Knowledge and Action
- Algorithms and Complexity Theory
Completed Projects:
Interests
For more information on Thomas Lukasiewicz and his team, see: Intelligent Systems Lab.
Selected Publications
-
Minimum Description Length Clustering to Measure Meaningful Image Complexity
Louis Mahon and Thomas Lukasiewicz
In Pattern Recognition. Vol. 145. No. 109889. January, 2024.
Details about Minimum Description Length Clustering to Measure Meaningful Image Complexity | BibTeX data for Minimum Description Length Clustering to Measure Meaningful Image Complexity | Link to Minimum Description Length Clustering to Measure Meaningful Image Complexity
-
Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary
Myeongjun Erik Jang and Thomas Lukasiewicz
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2023‚ Singapore‚ December 6−10‚ 2023. Association for Computational Linguistics. December, 2023.
Details about Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary | BibTeX data for Improving Language Models’ Meaning Understanding and Consistency by Learning Conceptual Roles from Dictionary
-
Consistency Analysis of ChatGPT
Myeongjun Erik Jang and Thomas Lukasiewicz
In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing‚ EMNLP 2023‚ Singapore‚ December 6−10‚ 2023. Association for Computational Linguistics. December, 2023.
Details about Consistency Analysis of ChatGPT | BibTeX data for Consistency Analysis of ChatGPT