| Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction R Bhambhoria, S Dahan, X Zhu Canadian Conference on Artificial Intelligence, 2021 | 14 | 2021 |
| Prefix Propagation: Parameter-Efficient Tuning for Long Sequences J Li, W Aitken, R Bhambhoria, X Zhu ACL 2023, 2023 | 12 | 2023 |
| Evaluating Explanation Correctness in Legal Decision Making CF Luo, R Bhambhoria, S Dahan, X Zhu Canadian Conference on Artificial Intelligence, 2022 | 10 | 2022 |
| Interpretable Low-Resource Legal Decision Making R Bhambhoria, H Liu, S Dahan, X Zhu AAAI Conference on Artificial Intelligence (AAAI), 2022, 2022 | 10 | 2022 |
| Using Social Media to Help Understand Long COVID Patient-Reported Health Outcomes: A Natural Language Processing Approach E Dolatabadi, D Moyano, M Bales, S Spasojevic, R Bhambhoria, J Bhatti, ... Journal of Medical Internet Research, 2022.12. 14.22283419, 2023 | 9* | 2023 |
| A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification R Bhambhoria, L Chen, X Zhu ACL 2023, 2023 | 8 | 2023 |
| Legally Enforceable Hate Speech Detection for Public Forums CF Luo, R Bhambhoria, X Zhu, S Dahan Findings of EMNLP, 2023 | 7* | 2023 |
| A smart system to generate and validate question answer pairs for COVID-19 literature R Bhambhoria, L Feng, D Sepehr, J Chen, C Cowling, S Kocak, ... Proceedings of the First Workshop on Scholarly Document Processing, 20-30, 2020 | 7 | 2020 |
| Lawyers Should Not Trust AI: A call for an Open-source Legal Language Model S Dahan, R Bhambhoria, D Liang, X Zhu Available at SSRN 4587092, 2023 | 6* | 2023 |
| Parameter-Efficient Legal Domain Adaptation J Li, R Bhambhoria, X Zhu Natural Legal Language Processing 2022, 2022 | 6 | 2022 |
| Prototype-Based Interpretability for Legal Citation Prediction CF Luo, R Bhambhoria, S Dahan, X Zhu ACL 2023, 2023 | 4 | 2023 |
| Towards providing clinical insights on long covid from twitter data R Bhambhoria, J Saab, S Uppal, X Li, A Yakimovich, J Bhatti, ... Multimodal AI in healthcare: A paradigm shift in health intelligence, 267-278, 2022 | 4 | 2022 |
| Analytics and EU Courts: The Case of Trademark Disputes S Dahan, R Bhambhoria, S Townsend, X Zhu The Changing European Union: A Critical View on the Role of Law and the Courts, 2022 | 4 | 2022 |
| Evaluating AI for Law: Bridging the Gap with Open-Source Solutions R Bhambhoria, S Dahan, J Li, X Zhu Lecture Notes in Artificial Intelligence, 2024 | 2 | 2024 |
| Natural Language Processing for Justifiable Legal Practitioner Assistance R Bhambhoria Queen's University (Canada), 2024 | 1 | 2024 |
| Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation CF Luo, R Shayanfar, R Bhambhoria, S Dahan, X Zhu Findings of EMNLP, 2024 | | 2024 |
| Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice J Li, R Bhambhoria, S Dahan, X Zhu GenLaw ICML 2024 Workshop, 2024 | | 2024 |
| AI-powered Trademark Dispute Resolution-Expert Opinion Commissioned by the European Union Intellectual Property Office (EUIPO) S Dahan, R Bhambhoria, X Zhu, S Townsend | | 2020 |
| The Gap between Deep Learning and Law: Predicting Employment Notice J Lam, R Bhambhoria, D Liang, X Zhu, S Dahan ICML 2020 Workshop on Law & Machine Learning (LML), 2020 | | 2020 |
Samuel DahanProf @ Queen's & Cornell, Head of Policy @ Deel LabVerified email at queensu.ca
