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Rohan Bhambhoria
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Cited by
Year
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
92021
Interpretable Low-Resource Legal Decision Making
R Bhambhoria, H Liu, S Dahan, X Zhu
AAAI Conference on Artificial Intelligence (AAAI), 2022, 2022
82022
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
72020
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences
J Li, W Aitken, R Bhambhoria, X Zhu
ACL 2023, 2023
62023
Evaluating Explanation Correctness in Legal Decision Making
CF Luo, R Bhambhoria, S Dahan, X Zhu
Canadian Conference on Artificial Intelligence, 2022
52022
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
42022
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
42022
Parameter-Efficient Legal Domain Adaptation
J Li, R Bhambhoria, X Zhu
Natural Legal Language Processing 2022, 2022
32022
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
2*2023
Prototype-Based Interpretability for Legal Citation Prediction
CF Luo, R Bhambhoria, S Dahan, X Zhu
ACL 2023, 2023
22023
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification
R Bhambhoria, L Chen, X Zhu
ACL 2023, 2023
22023
Legally Enforceable Hate Speech Detection for Public Forums
CF Luo, R Bhambhoria, X Zhu, S Dahan
Findings of EMNLP, 2023
2*2023
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
12023
Natural Language Processing for Justifiable Legal Practitioner Assistance
R Bhambhoria
Queen's University (Canada), 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
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Articles 1–16