Adam Dejl

According to our database, Adam Dejl authored at least 20 papers between 2021 and 2026.

Collaborative distances:

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

2026

Neurosymbolic Learning for Inference-Time Argumentation.

Gabriel Freedman, Adam Dejl, Adam Gould, Mansi, Lihu Chen, Jianqi Jiang, Francesca Toni

CoRR, May, 2026

Argumentation for Explainable and Globally Contestable Decision Support with LLMs.

Adam Dejl, Matthew Williams, Francesca Toni

CoRR, March, 2026

ArgLLM-App: An Interactive System for Argumentative Reasoning with Large Language Models.

Adam Dejl, Deniz Gorur, Francesca Toni

CoRR, February, 2026

EvalSense: A Framework for Domain-Specific LLM (Meta-)Evaluation.

Adam Dejl, Jonathan Pearson

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Comprehensiveness Metrics for Automatic Evaluation of Factual Recall in Text Generation.

Adam Dejl, James Barry, Alessandra Pascale, Javier Carnerero-Cano

CoRR, October, 2025

Heterogeneous graph neural networks with post-hoc explanations for multi-modal and explainable land use inference.

Xuehao Zhai, Junqi Jiang, Adam Dejl, Antonio Rago, Fangce Guo, Francesca Toni, Aruna Sivakumar

Inf. Fusion, 2025

XAI-Units: Benchmarking Explainability Methods with Unit Tests.

Jun Rui Lee, Sadegh Emami, Michael David Hollins, Timothy C. H. Wong, Carlos Ignacio Villalobos Sánchez, Francesca Toni, Dekai Zhang, Adam Dejl

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Hidden Conflicts in Neural Networks and their Implications for Explainability.

Adam Dejl, Dekai Zhang, Hamed Ayoobi, Matthew Williams, Francesca Toni

Proceedings of the 2025 ACM Conference on Fairness, Accountability, and Transparency, 2025

Evaluating Uncertainty Quantification Methods in Argumentative Large Language Models.

Kevin Zhou, Adam Dejl, Gabriel Freedman, Lihu Chen, Antonio Rago, Francesca Toni

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Argumentative Large Language Models for Explainable and Contestable Claim Verification.

Gabriel Freedman, Adam Dejl, Deniz Gorur, Xiang Yin, Antonio Rago, Francesca Toni

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

Identifying Query-Relevant Neurons in Large Language Models for Long-Form Texts.

Lihu Chen, Adam Dejl, Francesca Toni

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

2024

Analyzing Key Neurons in Large Language Models.

Lihu Chen, Adam Dejl, Francesca Toni

CoRR, 2024

Argumentative Large Language Models for Explainable and Contestable Decision-Making.

Gabriel Freedman, Adam Dejl, Deniz Gorur, Xiang Yin, Antonio Rago, Francesca Toni

CoRR, 2024

Contestable AI Needs Computational Argumentation.

Francesco Leofante, Hamed Ayoobi, Adam Dejl, Gabriel Freedman, Deniz Gorur, Junqi Jiang, Guilherme Paulino-Passos, Antonio Rago, Anna Rapberger, Fabrizio Russo, Xiang Yin, Dekai Zhang, Francesca Toni

Proceedings of the 21st International Conference on Principles of Knowledge Representation and Reasoning, 2024

2023

A Knowledge Distillation Approach for Sepsis Outcome Prediction from Multivariate Clinical Time Series.

Anna Wong, Shu Ge, Nassim Oufattole, Adam Dejl, Megan Su, Ardavan Saeedi, Li-Wei H. Lehman

CoRR, 2023

CAFE: Conflict-Aware Feature-wise Explanations.

Adam Dejl, Hamed Ayoobi, Matthew Williams, Francesca Toni

CoRR, 2023

RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction.

Sameer Tajdin Khanna, Adam Dejl, Kibo Yoon, Quoc Hung Truong, Hanh Duong, Agustina Saenz, Pranav Rajpurkar

CoRR, 2023

RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction.

Sameer Tajdin Khanna, Adam Dejl, Kibo Yoon, Steven Q. H. Truong, Hanh Duong, Agustina Saenz, Pranav Rajpurkar

Proceedings of the Machine Learning for Healthcare Conference, 2023

2022

Treatment-RSPN: Recurrent Sum-Product Networks for Sequential Treatment Regimes.

Adam Dejl, Harsh Deep, Jonathan Fei, Ardavan Saeedi, Li-Wei H. Lehman

CoRR, 2022

2021

Argflow: A Toolkit for Deep Argumentative Explanations for Neural Networks.

Adam Dejl, Chloe He, Pranav Mangal, Hasan Mohsin, Bogdan Surdu, Eduard Voinea, Emanuele Albini, Piyawat Lertvittayakumjorn, Antonio Rago, Francesca Toni

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021