Spatiotemporal Heterogeneity of AI-Driven Traffic Flow Patterns and Land Use Interaction: A GeoAI-Based Analysis of Multimodal Urban Mobility
arXiv:2603.05581v1 Announce Type: cross Abstract: Urban traffic flow is governed by the complex, nonlinear interaction between land use configuration and spatiotemporally heterogeneous mobility demand. Conventional global regression and time-series models cannot simultaneously capture these multi-scale dynamics across multiple travel modes....
Reasoning Models Struggle to Control their Chains of Thought
arXiv:2603.05706v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring is a promising tool for detecting misbehaviors and understanding the motivations of modern reasoning models. However, if models can control what they verbalize in their CoT, it could undermine CoT monitorability. To...
On the Reliability of AI Methods in Drug Discovery: Evaluation of Boltz-2 for Structure and Binding Affinity Prediction
arXiv:2603.05532v1 Announce Type: cross Abstract: Despite continuing hype about the role of AI in drug discovery, no "AI-discovered drugs" have so far received regulatory approval. Here we assess one of the latest AI based tools in this domain. The ability...
The DSA's Blind Spot: Algorithmic Audit of Advertising and Minor Profiling on TikTok
arXiv:2603.05653v1 Announce Type: cross Abstract: Adolescents spend an increasing amount of their time in digital environments where their still-developing cognitive capacities leave them unable to recognize or resist commercial persuasion. Article 28(2) of the Digital Service Act (DSA) responds to...
ROSE: Reordered SparseGPT for More Accurate One-Shot Large Language Models Pruning
arXiv:2603.05878v1 Announce Type: new Abstract: Pruning is widely recognized as an effective method for reducing the parameters of large language models (LLMs), potentially leading to more efficient deployment and inference. One classic and prominent path of LLM one-shot pruning is...
MAPO: Mixed Advantage Policy Optimization for Long-Horizon Multi-Turn Dialogue
arXiv:2603.06194v1 Announce Type: new Abstract: Subjective multi-turn dialogue tasks, such as emotional support, require conversational policies that adapt to evolving user states and optimize long-horizon interaction quality. However, reinforcement learning (RL) for such settings remains challenging due to the absence...
Abductive Reasoning with Syllogistic Forms in Large Language Models
arXiv:2603.06428v1 Announce Type: new Abstract: Research in AI using Large-Language Models (LLMs) is rapidly evolving, and the comparison of their performance with human reasoning has become a key concern. Prior studies have indicated that LLMs and humans share similar biases,...
Aligning the True Semantics: Constrained Decoupling and Distribution Sampling for Cross-Modal Alignment
arXiv:2603.05566v1 Announce Type: new Abstract: Cross-modal alignment is a crucial task in multimodal learning aimed at achieving semantic consistency between vision and language. This requires that image-text pairs exhibit similar semantics. Traditional algorithms pursue embedding consistency to achieve semantic consistency,...
Sparse Crosscoders for diffing MoEs and Dense models
arXiv:2603.05805v1 Announce Type: new Abstract: Mixture of Experts (MoE) achieve parameter-efficient scaling through sparse expert routing, yet their internal representations remain poorly understood compared to dense models. We present a systematic comparison of MoE and dense model internals using crosscoders,...
MoE Lens -- An Expert Is All You Need
arXiv:2603.05806v1 Announce Type: new Abstract: Mixture of Experts (MoE) models enable parameter-efficient scaling through sparse expert activations, yet optimizing their inference and memory costs remains challenging due to limited understanding of their specialization behavior. We present a systematic analysis of...
DQE: A Semantic-Aware Evaluation Metric for Time Series Anomaly Detection
arXiv:2603.06131v1 Announce Type: new Abstract: Time series anomaly detection has achieved remarkable progress in recent years. However, evaluation practices have received comparatively less attention, despite their critical importance. Existing metrics exhibit several limitations: (1) bias toward point-level coverage, (2) insensitivity...
Artificial Intelligence and Space Technologies: Legal, Ethical and Technological Issues
The article is devoted to the study of the specifics of the legal regulation of the use and development of artificial intelligence for the space area and the related issues of observation of fundamental human rights. Some approaches to the...
Wisconsin Law Review’s 2022 Symposium
Schedule and information for Wisconsin Law Review Symposia.
Construction and Management of the South Florida Detention Facility
The second Trump Administration is executing an extensive immigration crackdown — pulling more people into detention, expanding Immigration and Customs Enforcement (ICE), and funneling money from...The postConstruction and Management of the South Florida Detention Facilityappeared first onHarvard Law Review.
Drug Scheduling as Institutional Design
The United States makes bad choices when it comes to psychoactive drugs. Under the Controlled Substances Act (CSA), U.S. drug law has simultaneously fueled mass incarceration, inhibited needed access, and enabled an opioid crisis.The postDrug Scheduling as Institutional Designappeared first...
The Comstock Act’s Equal Protection Problem
Following its victory in Dobbs, the antiabortion movement has set its sights on a national abortion ban. Affiliates of the second Trump Administration—including the vice president-elect—have endorsed the renewed enforcement of the 1873 Comstock Act…The postThe Comstock Act’s Equal Protection...
Certifying Legal AI Assistants for Unrepresented Litigants: A Global Survey of Access to Civil Justice, Unauthorized Practice of Law, and AI
The global integration of artificial intelligence (AI) into legal services has created a critical need for clarity regarding unauthorized practice of law (UPL) rules. Traditionally, UPL rules prohibited unlicensed individuals from engaging in activities legally reserved for qualified attorneys, including,...
Curbing Private Enforcement of the Voting Rights Act: Thoughts on Recent Developments
For decades, private plaintiffs have brought claims to enforce key provisions of the Voting Rights Act (VRA). Recent decisions have tossed out these claims on the ground that enforcement authority lies solely with the Attorney…The postCurbing Private Enforcement of the...
Civil law regulation of artificial Intelligence in the Russian Federation
The purpose of this article is to identify the normative gaps in the legal regulation of the use of artificial intelligence technology and related systems, as well as to identify the degree of need for a more comprehensive legal regulation....
2025-26 Symposium - Minnesota Law Review
The Minnesota Law Review invites you to attend the Vol. 110 Symposium, "The Battle Will Not Be Over": 60 Years of the Voting Rights Act. As Lyndon B. Johnson signed the historic Voting Rights Act of 1965, he warned that...
Exempt but Not Immune: Why the Section 501(c)(3) Tax Exemption Amounts to Federal Financial Assistance and Demands that Private Schools Comply with Title IX lawreview - Minnesota Law Review
By ELLEN BART. Full Text. Title IX of the Education Amendments Act of 1972 (Title IX) prohibits discrimination on the basis of sex in education programs and activities that receive federal financial assistance and ensures that federal funds are not...
BETTING ON THE FUTURE: DISCUSSING PATHS FORWARD FOR MINNESOTA TO LEGALIZE SPORTS BETTING - Minnesota Law Review
By Benjamin Albert Halevy, Volume 108 Staff Member From pull-tab vending machines at bars to tribe-owned casinos sporting slot machines and blackjack tables, Minnesota is no stranger to gambling within its borders. Yet, sports gambling, the fastest growing sector of...
Pressing Charges: Criminal Fees and the Excessive Fines Clause lawreview - Minnesota Law Review
By ANNEMARIE FOY. Full Text. Millions of people owe money to the government as a consequence of a criminal charge. But while some of that debt is tied to fines or restitution, much of it is levied as fees, or...
Artificial Intelligence Crime: An Interdisciplinary Analysis of Foreseeable Threats and Solutions
Artificial intelligence (AI) research and regulation seek to balance the benefits of innovation against any potential harms and disruption. However, one unintended consequence of the recent surge in AI research is the potential re-orientation of AI technologies to facilitate criminal...
D-BIAS: A Causality-Based Human-in-the-Loop System for Tackling Algorithmic Bias
With the rise of AI, algorithms have become better at learning underlying patterns from the training data including ingrained social biases based on gender, race, etc. Deployment of such algorithms to domains such as hiring, healthcare, law enforcement, etc. has...
Fourth Amendment Equilibrium Adjustment in an Age of Technological Upheaval
The Digital Fourth Amendment is written by Professor Orin Kerr, one of the country’s foremost authorities on the Fourth Amendment, electronic privacy, and criminal procedure. Kerr’s work has been deeply influential in shaping how courts are looking at and deciding...
READY, AIM, FIRE? EVALUATING THE FUTURE OF LIABILITY FOR THE FIREARMS INDUSTRY DURING NEW-WAVE PLCAA LITIGATION - Minnesota Law Review
By: Will Roberts, Volume 108 Staff Member I. MECHANISMS FOR FIREARMS INDUSTRY LIABILITY In 2005, Congress enacted the Protection of Lawful Commerce in Arms Act (PLCAA) which significantly shielded members of the firearms industry from civil liability for over a...
Banana republic: copyright law and the extractive logic of generative AI
Abstract This article uses Maurizio Cattelan’s Comedian, a banana duct-taped to a gallery wall, as a metaphor to examine the extractive dynamics of generative artificial intelligence (AI). It argues that the AI-driven creative economy replicates colonial patterns of appropriation, transforming...
Russian experience of using digital technologies and legal risks of AI
The aim of the present article is to analyze the Russian experience of using digital technologies in law and legal risks of artificial intelligence (AI). The result of the present research is the author’s conclusion on the necessity of the...