Nick McKenna

According to our database, Nick McKenna authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Digital Forensic Investigation of the ChatGPT Windows Application.

Malithi Wanniarachchi Kankanamge, Nick McKenna, Santiago Carmona, Syed Mhamudul Hasan, Abdur Rahman Bin Shahid, Ahmed Imteaj

CoRR, May, 2025

Synthetic Function Demonstrations Improve Generation in Low-Resource Programming Languages.

Nick McKenna, Xinnuo Xu, Jack Williams, Nick Wilson, Benjamin Van Durme, Christian Pölitz

CoRR, March, 2025

Synthetic Clarification and Correction Dialogues about Data-Centric Tasks - A Teacher-Student Approach.

Christian Pölitz, Nick McKenna

CoRR, March, 2025

Unlocking SLM Potential for Data Analysis Code Generation via Non-Parametric Knowledge Distillation.

Jinyang Li, Jack Williams, Nick McKenna, Arian Askari, Nicholas Wilson, Reynold Cheng

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Evaluating the Evaluator: Measuring LLMs' Adherence to Task Evaluation Instructions.

Bhuvanashree Murugadoss, Christian Pölitz, Ian Drosos, Vu Le, Nick McKenna, Carina Suzana Negreanu, Chris Parnin, Advait Sarkar

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2023

KGQA Without Retraining.

Nick McKenna, Priyanka Sen

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

Smoothing Entailment Graphs with Language Models.

Nick McKenna, Tianyi Li, Mark Johnson, Mark Steedman

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Sources of Hallucination by Large Language Models on Inference Tasks.

Nick McKenna, Tianyi Li, Liang Cheng, Mohammad Javad Hosseini, Mark Johnson, Mark Steedman

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Smoothing Entailment Graphs with Language Models.

Nick McKenna, Mark Steedman

CoRR, 2022

2021

Modality and Negation in Event Extraction.

Sander Bijl de Vroe, Liane Guillou, Milos Stanojevic, Nick McKenna, Mark Steedman

CoRR, 2021

Multivalent Entailment Graphs for Question Answering.

Nick McKenna, Liane Guillou, Mohammad Javad Hosseini, Sander Bijl de Vroe, Mark Steedman

CoRR, 2021

Multivalent Entailment Graphs for Question Answering.

Nick McKenna, Liane Guillou, Mohammad Javad Hosseini, Sander Bijl de Vroe, Mark Johnson, Mark Steedman

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Learning Negation Scope from Syntactic Structure.

Nick McKenna, Mark Steedman

Proceedings of the Ninth Joint Conference on Lexical and Computational Semantics, 2020