Publications:
2026
Evaluating and Mitigating the Misguidance Effect of Buggy Code in LLM-Generated Unit Tests. Zhao, J.; Zhou, S.; Cohen, E. In The 35th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2026), In press, 2026.
Do Coverage and Mutation Scores of LLM-Generated Test Suites Correlate With Their Effectiveness? (Replicability Study). Zhao, J.; Zhou, S.; Cohen, E. In The 35th ACM SIGSOFT International Symposium on Software Testing and Analysis (ISSTA 2026), In press, 2026.
Lightweight and Faithful Visual Condition Checking in Behavior Trees via Expert-Regularized Reinforcement Learning. Moon, H.; Cohen, E. In Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 41764-41799, 2026.
Make Use of Your Search Effort: Data Augmentation for Learning Effective Planning Heuristics from Optimal Plans. Zhong, S.; Cohen, E. In The 19th International Symposium on Combinatorial Search (SoCS 2026), In press, 2026.
CP-SynC: Multi-Agent Zero-Shot Constraint Modeling in MiniZinc with Synthesized Checkers. Song, Y.; Cohen, E. In Proceedings of the 20th Learning and Intelligent Optimization Conference (LION 2026), In press, 2026.
2025
Empowering Decision Trees via Shape Function Branching. Upadhya, N.; Cohen, E. In The Thirty-ninth Annual Conference on Neural Information Processing Systems (NeurIPS 2025), 122263-122308, 2025.
Optimal Decision Trees for Interpretable and Constrained Clustering. Shati, P.; Song, Y.; Cohen, E.; McIlraith, S. A. In Journal of Artificial Intelligence Research, 84, 2025.
Efficient Detection of Stigmatizing Language in Electronic Health Records via In-Context Learning: A Comparative Analysis and Validation Study. Chen, H.; Alfred, M.; Cohen, E. In JMIR Medical Informatics, e68955, 2025.
ROCKET-LRP: Explainable Time Series Classification with Application to Anomaly Prediction in Manufacturing. Ling, Z.; Aoyama, T.; Yano, K.; Cohen, E. In Proceedings of the 21st IEEE International Conference on Automation Science and Engineering (CASE-25), 576-583, 2025.
Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models. Zhao, J.; Song, Y.; Cohen, E. In Journal of Systems and Software, 112493, 2025.
Leveraging LLM to identify missed information in patient-physician communication: improving healthcare service quality. Zhou, X.; Cohen, E.; Zhou, X.; Montague, E. In Frontiers in Medicine, 12, 1631565, 2025.
Do LLMs Understand Constraint Programming? Zero-Shot Constraint Programming Model Generation Using LLMs. Song, Y.; Cohen, E. In Proceedings of the 19th Learning and Intelligent Optimization Conference (LION-25), 16-31, 2025.
Examining the development, effectiveness, and limitations of computer-aided diagnosis systems for retained surgical items detection: a systematic review. Chen, H.; Cohen, E.; Alfred, M. In Ergonomics, 1-16, 2025.
2024
Intersection of Performance, Interpretability, and Fairness in Neural Prototype Tree for Chest X-Ray Pathology Detection: Algorithm Development and Validation Study. Chen, H.; Alfred, M.; Brown, A. D.; Atinga, A.; Cohen, E.; others, In JMIR Formative Research, 8, e59045, 2024.
NeurCAM: Interpretable Neural Clustering via Additive Models. Upadhya, N.; Cohen, E. In Proceedings of the 27th European Conference on Artificial Intelligence (ECAI-24), 3079-3087, 2024.
Evaluating Active Learning Strategies for Automated Classification of Patient Safety Event Reports in Hospitals. Islam, S.; Alfred, M.; Wilson, D.; Cohen, E. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 465-472, 2024.
Bi-Criteria Diverse Plan Selection via Beam Search Approximation. Zhong, S.; Shati, P.; Cohen, E. In Proceedings of the 17th International Symposium on Combinatorial Search (SoCS-24), 188-196, 2024.
Neural Sequence Generation with Constraints via Beam Search with Cuts: A Case Study on VRP. Shati, P.; Cohen, E.; McIlraith, S. In Proceedings of the 17th International Symposium on Combinatorial Search (SoCS-24), 118-126, 2024.
Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models. Pour, M. M. A.; Pesaranghader, A.; Cohen, E.; Sanner, S. In Findings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-24), 1529-1536, 2024.
Transformer models for mining intents and predicting activities from emails in knowledge-intensive processes. Khandaker, F.; Senderovich, A.; Zhao, J.; Cohen, E.; Yu, E.; Carbajales, S.; Chan, A. In Engineering Applications of Artificial Intelligence, 128, 107450, 2024.
Automated Classification of Patient Safety Event Reports: A Machine Learning Approach with Human-AI Collaboration. Chen, H.; Cohen, E.; Wilson, D.; Alfted, M. In JMIR Human Factors, 11, e53378, 2024.
2023
Optimal Decision Trees For Interpretable Clustering with Constraints. Shati, P.; Cohen, E.; McIlraith, S. In Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI), 2022-2030, 2023.
Interpretable Clustering via Soft Clustering Trees. Cohen, E. In Proceedings of the 20th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR), 281-298, 2023.
SAT-based optimal classification trees for non-binary data. Shati, P.; Cohen, E.; McIlraith, S. A. In Constraints, 28, 166-202, 2023.
Improving Patient Safety Event Report Classification with Machine Learning and Contextual Text Representation. Chen, H.; Cohen, E.; Wilson, D.; Alfted, M. In Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 1063-1069, 2023.
SAT-Based Learning of Compact Binary Decision Diagrams for Classification. Shati, P.; Cohen, E.; McIlraith, S. In Proceedings of the 29th International Conference on Principles and Practice of Constraint Programming (CP), 33:1-33:19, 2023.
2022
Exploiting Hardware and Software Advances for Quadratic Models of Wind Farm Layout Optimization. Senderovich, A.; Zhang, J.; Cohen, E.; Beck, J. C. In IEEE Access (Volume: 10), 78044-78055, 2022.
2021
Unified Clustering and Outlier Detection on Specialized Hardware. Cohen, E.; Ushijima-Mwesigwa, H.; Mandal, A.; Roy, A. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 3770-3774, 2021.
Heavy-Tails and Randomized Restarting Beam Search in Goal-Oriented Neural Sequence Decoding. Cohen, E.; Beck, J. C. In Proceedings of the 18th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR), 115-132, 2021.
Type-WA*: Using Exploration in Bounded Suboptimal Planning. Cohen, E.; Valenzano, R. A.; McIlraith, S. A. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI), 4047-4053, 2021.
SAT-based Approach for Learning Optimal Decision Trees with Non-Binary Features. Shati, P.; Cohen, E.; McIlraith, S. A. In Proceedings of the 27th International Conference on Principles and Practice of Constraint Programming (CP), 50:1-50:16, 2021.
2020
Ising-Based Consensus Clustering on Specialized Hardware. Cohen, E.; Mandal, A.; Ushijima-Mwesigwa, H.; Roy, A. In Advances in Intelligent Data Analysis XVIII: Proceedings of the 18th International Symposium on Intelligent Data Analysis (IDA), 106-118, 2020.
An Ising Framework for Constrained Clustering on Special Purpose Hardware. Cohen, E.; Senderovich, A.; Beck, J. C. In Proceedings of the 17th International Conference on Integration of Constraint Programming, Artificial Intelligence, and Operations Research (CPAIOR), 130-147, 2020.
2019
Empirical Analysis of Beam Search Performance Degradation in Neural Sequence Models. Cohen, E.; Beck, J. C. In Proceedings of the 36th International Conference on Machine Learning (ICML), 1290-1299, 2019.
2018
Fat- and Heavy-Tailed Behavior in Satisficing Planning. Cohen, E.; Beck, J. C. In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), 6136-6143, 2018.
Large-Scale Analysis of the Co-Commit Patterns of the Active Developers in GitHub's Top Repositories. Cohen, E.; Consens, M. P. In Proceedings of the 15th International Conference on Mining Software Repositories (MSR), 426-436, 2018.
Local Minima, Heavy Tails, and Search Effort for GBFS. Cohen, E.; Beck, J. C. In Proceedings of the 27th International Joint Conference on Artificial Intelligence and the European Conference on Artificial Intelligence (IJCAI-ECAI), 4708-4714, 2018.
2017
Problem Difficulty and the Phase Transition in Heuristic Search. Cohen, E.; Beck, J. C. In Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence (AAAI), 780-786, 2017.
Cost-based Heuristics and Node Re-Expansions Across the Phase Transition. Cohen, E.; Beck, J. C. In Proceedings of the International Symposium on Combinatorial Search (SoCS), 11-19, 2017.
(I Can Get) Satisfaction: Preference-Based Scheduling for Concert-Goers at Multi-venue Music Festivals. Cohen, E.; Huang, G.; Beck, J. C. In Proceedings of the 20th International Conference on Theory and Applications of Satisfiability Testing (SAT), 147-163, 2017.
Theses:
Shati, P. Interpretable and Constrained Machine Learning via Combinatorial Optimization. PhD Thesis, University of Toronto, 2025.
Ling, Z. Explainable prediction of manufacturing anomalies via convolutional models and layer-wise relevance propagation. MASc Thesis, University of Toronto, 2024.
Islam, S. Automating patient safety event report classification using natural language processing and machine learning. MASc Thesis, University of Toronto, 2024.
Hickey, R. Reusing Work and Avoiding Redundant Work in Propositional Logic Solvers. PhD Thesis, University of Toronto, 2024.