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Rohan Bhambhoria
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2020 – today
- 2024
- [c11]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 - [i9]Rohan Bhambhoria, Samuel Dahan, Jonathan Li, Xiaodan Zhu:
Evaluating AI for Law: Bridging the Gap with Open-Source Solutions. CoRR abs/2404.12349 (2024) - [i8]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) - [i7]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
- [c10]Jonathan Li, Will Aitken, Rohan Bhambhoria, Xiaodan Zhu:
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences. ACL (2) 2023: 1408-1419 - [c9]Rohan Bhambhoria, Lei Chen, Xiaodan Zhu:
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification. ACL (2) 2023: 1782-1792 - [c8]Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Prototype-Based Interpretability for Legal Citation Prediction. ACL (Findings) 2023: 4883-4898 - [c7]Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Legally Enforceable Hate Speech Detection for Public Forums. EMNLP (Findings) 2023: 10948-10963 - [c6]Samuel Dahan
, Rohan Bhambhoria
OpenJustice.ai: A Global Open-Source Legal Language Model. JURIX 2023: 387-390 - [i6]Jonathan Li, Will Aitken, Rohan Bhambhoria, Xiaodan Zhu:
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences. CoRR abs/2305.12086 (2023) - [i5]Chu Fei Luo, Rohan Bhambhoria, Xiaodan Zhu, Samuel Dahan:
Towards Legally Enforceable Hate Speech Detection for Public Forums. CoRR abs/2305.13677 (2023) - [i4]Rohan Bhambhoria, Lei Chen, Xiaodan Zhu:
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification. CoRR abs/2305.15282 (2023) - [i3]Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Prototype-Based Interpretability for Legal Citation Prediction. CoRR abs/2305.16490 (2023) - 2022
- [c5]Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu:
Interpretable Low-Resource Legal Decision Making. AAAI 2022: 11819-11827 - [c4]Jonathan Li, Rohan Bhambhoria, Xiaodan Zhu:
Parameter-Efficient Legal Domain Adaptation. NLLP@EMNLP 2022: 119-129 - [c3]Chu Fei Luo, Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Evaluating Explanation Correctness in Legal Decision Making. Canadian AI 2022 - [i2]Rohan Bhambhoria, Hui Liu, Samuel Dahan, Xiaodan Zhu:
Interpretable Low-Resource Legal Decision Making. CoRR abs/2201.01164 (2022) - [i1]Jonathan Li, Rohan Bhambhoria, Xiaodan Zhu:
Parameter-Efficient Legal Domain Adaptation. CoRR abs/2210.13712 (2022) - 2021
- [c2]Rohan Bhambhoria, Samuel Dahan, Xiaodan Zhu:
Investigating the State-of-the-Art Performance and Explainability of Legal Judgment Prediction. Canadian AI 2021 - 2020
- [c1]Rohan Bhambhoria, Luna Feng, Dawn Sepehr, John Chen, Conner Cowling, Sedef Akinli Koçak, Elham Dolatabadi:
A Smart System to Generate and Validate Question Answer Pairs for COVID-19 Literature. SDP@EMNLP 2020: 20-30
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last updated on 2024-11-19 20:47 CET by the dblp team
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