Papers by Rohan Bhambhoria
Prototype-Based Interpretability for Legal Citation Prediction (2023.findings-acl)
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| Challenge: | citation prediction is a key problem in high-stakes decision making areas such as law . experts often require interpretability for automatic systems to be utilized in practical settings . |
| Approach: | They propose to use legal citation prediction to solve a problem with legal experts' feedback . they propose to add a prototype architecture to add interpretability while adhering to legal parameters . |
| Outcome: | The proposed model performs well while adhering to decision parameters used by lawyers. |
A Simple and Effective Framework for Strict Zero-Shot Hierarchical Classification (2023.acl-short)
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| Challenge: | Large language models have been able to perform well on benchmarks, but they are often not able address real-world challenges. |
| Approach: | They propose to refactor hierarchical tasks into a more indicative long-tail prediction task. |
| Outcome: | The proposed method does not require parameter updates and achieves strong performance across multiple datasets. |
Misinformation with Legal Consequences (MisLC): A New Task Towards Harnessing Societal Harm of Misinformation (2024.findings-emnlp)
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| Challenge: | Existing research has focused on the veracity of information, overlooking the legal implications and consequences of misinformation. |
| Approach: | They propose a task to detect misinformation using legal issues as a measure of societal ramifications. |
| Outcome: | The proposed task leverages definitions from a wide range of legal domains covering 4 broader legal topics and 11 fine-grained legal issues, including hate speech, election laws, and privacy regulations. |
Legally Enforceable Hate Speech Detection for Public Forums (2023.findings-emnlp)
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| Challenge: | Existing work does not align systems with enforceable hate speech definitions, which can make outputs inconsistent with the goals of regulators. |
| Approach: | They propose a task for enforceable hate speech detection centred around legal definitions and an annotated dataset of violations by legal experts. |
| Outcome: | The proposed method can be used to detect hate speech in public forums on a large scale. |
Prefix Propagation: Parameter-Efficient Tuning for Long Sequences (2023.acl-short)
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| Challenge: | Prefix-tuning prepends trainable tokens to sequences while freezing the rest of the model’s parameters. |
| Approach: | They propose a method that prefixes on previous hidden states to improve model performance. |
| Outcome: | The proposed architecture outperforms prefix-tuning on long-document tasks while using 50% fewer parameters. |