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2020 – today
- 2024
[c10]Chu Fei Luo, Radin Shayanfar, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation. EMNLP (Findings) 2024: 15749-15768- [i6]Rohan Bhambhoria, Samuel Dahan, Jonathan Li, Xiaodan Zhu:
Evaluating AI for Law: Bridging the Gap with Open-Source Solutions. CoRR abs/2404.12349 (2024) - [i5]Jonathan Li, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Experimenting with Legal AI Solutions: The Case of Question-Answering for Access to Justice. CoRR abs/2409.07713 (2024) - [i4]Chu Fei Luo, Radin Shayanfar, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation. CoRR abs/2410.03829 (2024) - 2023
- [c9]Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Prototype-Based Interpretability for Legal Citation Prediction. ACL (Findings) 2023: 4883-4898 - [c8]Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Legally Enforceable Hate Speech Detection for Public Forums. EMNLP (Findings) 2023: 10948-10963 - [c7]Samuel Dahan
, Rohan Bhambhoria, David Liang, Xiaodan Zhu:
OpenJustice.ai: A Global Open-Source Legal Language Model. JURIX 2023: 387-390 - [i3]Chu Fei Luo, Rohan Bhambhoria, Xiaodan Zhu, Samuel Dahan:
Towards Legally Enforceable Hate Speech Detection for Public Forums. CoRR abs/2305.13677 (2023) - [i2]Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Prototype-Based Interpretability for Legal Citation Prediction. CoRR abs/2305.16490 (2023) - 2022
- [c6]Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu:
Interpretable Low-Resource Legal Decision Making. AAAI 2022: 11819-11827 - [c5]Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Evaluating Explanation Correctness in Legal Decision Making. Canadian AI 2022 - [i1]Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu:
Interpretable Low-Resource Legal Decision Making. CoRR abs/2201.01164 (2022) - 2021
- [c4]Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction. Canadian AI 2021 - [c3]Jason T. Lam, Yuhao Chen, Farhana H. Zulkernine, Samuel Dahan:
Detection of Similar Legal Cases on Personal Injury. ICDM (Workshops) 2021: 639-646 - 2020
- [c2]Yifei Yin, Farhana H. Zulkernine, Samuel Dahan:
Determining Worker Type from Legal Text Data using Machine Learning. DASC/PiCom/CBDCom/CyberSciTech 2020: 444-450 - [c1]Jason T. Lam, David Liang, Samuel Dahan, Farhana H. Zulkernine:
The Gap between Deep Learning and Law: Predicting Employment Notice. NLLP@KDD 2020: 52-56
Coauthor Index
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