Immigration Law

arXiv:2603.05529v1 Announce Type: cross Abstract: While AI systems have made remarkable progress in processing unstructured text, structured data such as graphs stored in databases, continues to grow rapidly yet remains difficult for neural models to effectively utilize. We introduce NGDBench,...

arXiv:2603.06082v1 Announce Type: new Abstract: Recent advances in deep learning inspired neural network-based approaches to computational materials discovery (CMD). A plethora of problems in this field involve finding materials that optimize a target property. Nevertheless, the increasingly popular generative modeling...

arXiv:2603.05569v1 Announce Type: cross Abstract: Extracting insights from Electronic Health Record (EHR) databases often requires SQL expertise, creating a barrier for healthcare decision-making and research. While a promising approach is to use Large Language Models (LLMs) to translate natural language...

arXiv:2603.05617v1 Announce Type: new Abstract: We present NOTAI.AI, an explainable framework for machine-generated text detection that extends Fast-DetectGPT by integrating curvature-based signals with neural and stylometric features in a supervised setting. The system combines 17 interpretable features, including Conditional Probability...

arXiv:2603.05909v1 Announce Type: new Abstract: LLMs are increasingly deployed in high-stakes domains such as medical triage and legal assistance, often as document-grounded QA systems in which a user provides a description, relevant sources are retrieved, and an LLM generates a...

arXiv:2603.06007v1 Announce Type: new Abstract: Large language model-based (LLM-based) multi-agent systems (MAS) are increasingly used to extend agentic problem solving via role specialization and collaboration. MAS workflows can be naturally modeled as directed computation graphs, where nodes execute agents/sub-workflows and...

arXiv:2603.05556v1 Announce Type: new Abstract: Integer sequences in the OEIS span values from single-digit constants to astronomical factorials and exponentials, making prediction challenging for standard tokenised models that cannot handle out-of-vocabulary values or exploit periodic arithmetic structure. We present IntSeqBERT,...

arXiv:2603.05579v1 Announce Type: new Abstract: Railcar shunting is a core planning task in freight railyards, where yard planners need to disassemble and reassemble groups of railcars to form outbound trains. Classification tracks with access from one side only can be...

arXiv:2603.06153v1 Announce Type: new Abstract: Accurate regional ocean forecasting requires models that are both computationally efficient and capable of representing predictive uncertainty. This work investigates ensemble learning strategies for sea surface temperature (SST) forecasting using Graph Neural Networks (GNNs), with...

In Online Courts and the Future of Justice, Richard Susskind, the world’s most cited author on the future of legal services, shows how litigation will be transformed by technology and proposes a solution to the global access-to-justice problem. In most...

Abstract Preventive Legal Technology (PLT) is a new field of Artificial Intelligence (AI) investigating the intelligent prevention of disputes. The concept integrates the theories of preventive law and legal technology. Our goal is to give ethics a place in the...

Welcome the UW Theme! The kitchen sink page is your guide to all the visual page elements currently available through the theme. If you prefer to print out your options, please download the current component key (pdf). This WordPress theme...

For a document that is usually found behind glass casing in museums and galleries, many have taken advantage of the ability to carry it in their purse, wallet—or better yet—their pocket. The US Constitution is one of the oldest and...

The organizational use of artificial intelligence (AI) has rapidly spread across various sectors. Alongside the awareness of the benefits brought by AI, there is a growing consensus on the necessity of tackling the risks and potential harms, such as bias...

This note explores the current state of and perspectives on the legal qualification of artificial intelligence (AI) outputs in Ukrainian copyright. The possible legal protection for AI-generated objects by granting sui generis intellectual property rights will be examined. As will...

Abstract: This chapter examines the transformative role of artificial intelligence (AI) in business law, focusing on the regulatory, ethical, and governance challenges it presents. As AI applications in legal processes grow—ranging from compliance automation and contract management to risk assessment...

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Recent advances in Natural Language Processing and Machine Learning provide us with the tools to build predictive models that can be used to unveil patterns driving judicial decisions. This can be useful, for both lawyers and judges, as an assisting...

Concerns regarding unfairness and discrimination in the context of artificial intelligence (AI) systems have recently received increased attention from both legal and computer science scholars. Yet, the degree of overlap between notions of algorithmic bias and fairness on the one...

Abstract Generative Artificial Intelligence (AI) models must be trained on vast quantities of data, much of which is composed of copyrighted material. However, AI developers frequently use such content without seeking permission from rightsholders, leading to calls for requirements to...

The article is devoted to the international regulation on artificial intelligence influence on the Information Law of Ukraine. It was noted that the principles of regulation of artificial intelligence should be reflected in the Information Law of Ukraine. Based on...

The balancing act which domestic intellectual property policy is now challenged to strike is between fostering growth in technological innovation and incentivising creative labour. Ordinarily, these two considerations should not be mutually exclusive, but generative artificial intelligence (Gen AI) has...

Abstract How can tort law contribute to a better understanding of the risk-based approach in the European Union’s (EU) Artificial Intelligence Act proposal and evolving liability regime? In a new legal area of intense development, it is pivotal to make...