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 …

As machine learning methods are deployed in real-world settings such as healthcare, legal
systems, and social science, it is crucial to recognize how they shape social biases and …

Learning multimodal representations involves integrating information from multiple
heterogeneous sources of data. It is a challenging yet crucial area with numerous real-world …

As natural language processing methods are increasingly deployed in real-world scenarios
such as healthcare, legal systems, and social science, it becomes necessary to recognize …

Legaltech refers to the application of new technologies to the world of law, to carry out tasks
that, until recently, were performed by lawyers or other personnel working in law firms. From …

In this paper, we summarize the current state of the field of NLP & Law with a specific focus
on recent technical and substantive developments. To support our analysis, we construct …

Blockchain technology has enabled so-called smart contracts between different parties on a
decentralized network. These self-enforceable and self-executable computerized contracts …

Abstract The adoption of Deep Neural Networks (DNNs) has greatly benefited Natural
Language Processing (NLP) during the past decade. However, the demands of long …

When working with textual data, a natural application of disentangled representations is fair
classification where the goal is to make predictions without being biased (or influenced) by …

The advancement of science and technology has facilitated adaptation of human
intelligence into its computerized platform for logical analysis of any event. This porting of …