Thomas Lukasiewicz

Professor Thomas Lukasiewicz

Professor of Computer Science

E: firstname.lastname at cs.ox.ac.uk

T: +44 (0)1865 522566

Themes:

• Artificial Intelligence and Machine Learning
• Data and Knowledge
• Algorithms and Complexity Theory

Completed Projects:

• ExODA
• Probabilistic Semantic Query Answering on the Web
• PrOQAW
• PRODIMA
• Personalized Search on the Social Web
• more…

Interests

For more information on Thomas Lukasiewicz and his team, see: Intelligent Systems Lab.

Selected Publications

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• Complexity of Inconsistency−Tolerant Query Answering in Datalog+/ under Preferred Repairs

  Thomas Lukasiewicz‚ Enrico Malizia and Cristian Molinaro

  In Pierre Marquis and Tran Cao Son, editors, Proceedings of 20th International Conference on Principles of Knowledge Representation and Reasoning‚ KR 2023‚ Rhodes‚ Greece‚ September 2−8‚ 2023.. AAAI Press. September, 2023.

  Details about Complexity of Inconsistency−Tolerant Query Answering in Datalog+/ under Preferred Repairs | BibTeX data for Complexity of Inconsistency−Tolerant Query Answering in Datalog+/ under Preferred Repairs

• KNOW How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations

  Myeongjun Jang‚ Bodhisattwa Prasad Majumder‚ Julian McAuley‚ Thomas Lukasiewicz and Oana−Maria Camburu

  In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics‚ ACL 2023‚ Toronto‚ Canada‚ July 9–14‚ 2023. Association for Computational Linguistics. July, 2023.

  Details about KNOW How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations | BibTeX data for KNOW How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations

• An Empirical Analysis of Parameter−Efficient Methods for Debiasing Pre−Trained Language Models

  Zhongbin Xie and Thomas Lukasiewicz

  In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics‚ ACL 2023‚ Toronto‚ Canada‚ July 9–14‚ 2023. Association for Computational Linguistics. July, 2023.

  Details about An Empirical Analysis of Parameter−Efficient Methods for Debiasing Pre−Trained Language Models | BibTeX data for An Empirical Analysis of Parameter−Efficient Methods for Debiasing Pre−Trained Language Models

Activities

• Deep Learning
• Knowledge Representation and Reasoning
• Databases

Completed Projects

• ExODA
• Probabilistic Semantic Query Answering on the Web
• PrOQAW
• PRODIMA
• Personalized Search on the Social Web
• DBOnto
• VADA
• RealPDBs
• PrefMPS

Current Students

Past Students

Past Researchers