A survey on legal judgment prediction: Datasets, metrics, models and challenges
J Cui, X Shen, S Wen - IEEE Access, 2023 - ieeexplore.ieee.org
Legal judgment prediction (LJP) applies Natural Language Processing (NLP) techniques to
predict judgment results based on fact descriptions automatically. The present work …
predict judgment results based on fact descriptions automatically. The present work …
Bringing order into the realm of Transformer-based language models for artificial intelligence and law
CM Greco, A Tagarelli - Artificial Intelligence and Law, 2023 - Springer
Transformer-based language models (TLMs) have widely been recognized to be a cutting-
edge technology for the successful development of deep-learning-based solutions to …
edge technology for the successful development of deep-learning-based solutions to …
Poisonedrag: Knowledge poisoning attacks to retrieval-augmented generation of large language models
Large language models (LLMs) have achieved remarkable success due to their exceptional
generative capabilities. Despite their success, they also have inherent limitations such as a …
generative capabilities. Despite their success, they also have inherent limitations such as a …
[PDF][PDF] Poisonedrag: Knowledge corruption attacks to retrieval-augmented generation of large language models
Large language models (LLMs) have achieved remarkable success due to their exceptional
generative capabilities. Despite their success, they also have inherent limitations such as a …
generative capabilities. Despite their success, they also have inherent limitations such as a …
CLERC: A Dataset for Legal Case Retrieval and Retrieval-Augmented Analysis Generation
Legal professionals need to write analyses that rely on citations to relevant precedents, ie,
previous case decisions. Intelligent systems assisting legal professionals in writing such …
previous case decisions. Intelligent systems assisting legal professionals in writing such …
LawngNLI: A Long-Premise Benchmark for In-Domain Generalization from Short to Long Contexts and for Implication-Based Retrieval
W Bruno, D Roth - arXiv preprint arXiv:2212.03222, 2022 - arxiv.org
Natural language inference has trended toward studying contexts beyond the sentence
level. An important application area is law: past cases often do not foretell how they apply to …
level. An important application area is law: past cases often do not foretell how they apply to …
VNLES: a reasoning-enable legal expert system using Ontology modeling-based method: a case study of vietnam criminal code
QT Dao, TK Dang, TPH Nguyen… - 2023 17th International …, 2023 - ieeexplore.ieee.org
The main purpose of this research is to develop a method to model the criminal code by its
essence to serve a legal reasoning-enable expert system. Ontology combines a hierarchi …
essence to serve a legal reasoning-enable expert system. Ontology combines a hierarchi …
LePaRD: A Large-Scale Dataset of Judges Citing Precedents
We present the Legal Passage Retrieval Dataset LePaRD. LePaRD is a massive collection
of US federal judicial citations to precedent in context. The dataset aims to facilitate work on …
of US federal judicial citations to precedent in context. The dataset aims to facilitate work on …