The effect of the GDPR on privacy policies: Recent progress and future promise
RN Zaeem, KS Barber - ACM Transactions on Management Information …, 2020 - dl.acm.org
The General Data Protection Regulation (GDPR) is considered by some to be the most
important change in data privacy regulation in 20 years. Effective May 2018, the European …
important change in data privacy regulation in 20 years. Effective May 2018, the European …
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 …
Legalbench: A collaboratively built benchmark for measuring legal reasoning in large language models
The advent of large language models (LLMs) and their adoption by the legal community has
given rise to the question: what types of legal reasoning can LLMs perform? To enable …
given rise to the question: what types of legal reasoning can LLMs perform? To enable …
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 …
Adapting Large Language Models to Domains via Reading Comprehension
We explore how continued pre-training on domain-specific corpora influences large
language models, revealing that training on the raw corpora endows the model with domain …
language models, revealing that training on the raw corpora endows the model with domain …
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 …
” I am Definitely Manipulated, Even When I am Aware of it. It's Ridiculous!”-Dark Patterns from the End-User Perspective
K Bongard-Blanchy, A Rossi, S Rivas… - Proceedings of the …, 2021 - dl.acm.org
Online services pervasively employ manipulative designs (ie, dark patterns) to influence
users to purchase goods and subscriptions, spend more time on-site, or mindlessly accept …
users to purchase goods and subscriptions, spend more time on-site, or mindlessly accept …
Pile of law: Learning responsible data filtering from the law and a 256gb open-source legal dataset
One concern with the rise of large language models lies with their potential for significant
harm, particularly from pretraining on biased, obscene, copyrighted, and private information …
harm, particularly from pretraining on biased, obscene, copyrighted, and private information …
Llama pro: Progressive llama with block expansion
Humans generally acquire new skills without compromising the old; however, the opposite
holds for Large Language Models (LLMs), eg, from LLaMA to CodeLLaMA. To this end, we …
holds for Large Language Models (LLMs), eg, from LLaMA to CodeLLaMA. To this end, we …
The privacy policy landscape after the GDPR
T Linden, R Khandelwal, H Harkous… - arxiv preprint arxiv …, 2018 - arxiv.org
The EU General Data Protection Regulation (GDPR) is one of the most demanding and
comprehensive privacy regulations of all time. A year after it went into effect, we study its …
comprehensive privacy regulations of all time. A year after it went into effect, we study its …