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 …
[PDF][PDF] Legal Judgment Prediction: A Survey of the State of the Art.
Automatic legal judgment prediction (LJP) has recently received increasing attention in the
natural language processing community in part because of its practical values as well as the …
natural language processing community in part because of its practical values as well as the …
Gpt-4 passes the bar exam
DM Katz, MJ Bommarito, S Gao… - … Transactions of the …, 2024 - royalsocietypublishing.org
In this paper, we experimentally evaluate the zero-shot performance of GPT-4 against prior
generations of GPT on the entire uniform bar examination (UBE), including not only the …
generations of GPT on the entire uniform bar examination (UBE), including not only the …
On the opportunities and risks of foundation models
AI is undergoing a paradigm shift with the rise of models (eg, BERT, DALL-E, GPT-3) that are
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
trained on broad data at scale and are adaptable to a wide range of downstream tasks. We …
[图书][B] Pretrained transformers for text ranking: Bert and beyond
The goal of text ranking is to generate an ordered list of texts retrieved from a corpus in
response to a query. Although the most common formulation of text ranking is search …
response to a query. Although the most common formulation of text ranking is search …
LexGLUE: A benchmark dataset for legal language understanding in English
Laws and their interpretations, legal arguments and agreements\are typically expressed in
writing, leading to the production of vast corpora of legal text. Their analysis, which is at the …
writing, leading to the production of vast corpora of legal text. Their analysis, which is at the …
[HTML][HTML] Lawformer: A pre-trained language model for chinese legal long documents
Legal artificial intelligence (LegalAI) aims to benefit legal systems with the technology of
artificial intelligence, especially natural language processing (NLP). Recently, inspired by …
artificial intelligence, especially natural language processing (NLP). Recently, inspired by …
When does pretraining help? assessing self-supervised learning for law and the casehold dataset of 53,000+ legal holdings
While self-supervised learning has made rapid advances in natural language processing, it
remains unclear when researchers should engage in resource-intensive domain-specific …
remains unclear when researchers should engage in resource-intensive domain-specific …
Cuad: An expert-annotated nlp dataset for legal contract review
Many specialized domains remain untouched by deep learning, as large labeled datasets
require expensive expert annotators. We address this bottleneck within the legal domain by …
require expensive expert annotators. We address this bottleneck within the legal domain by …
Turn the combination lock: Learnable textual backdoor attacks via word substitution
Recent studies show that neural natural language processing (NLP) models are vulnerable
to backdoor attacks. Injected with backdoors, models perform normally on benign examples …
to backdoor attacks. Injected with backdoors, models perform normally on benign examples …