X-SYS: A Reference Architecture for Interactive Explanation Systems
arXiv:2602.12748v1 Announce Type: new Abstract: The explainable AI (XAI) research community has proposed numerous technical methods, yet deploying explainability as systems remains challenging: Interactive explanation systems require both suitable algorithms and system capabilities that maintain explanation usability across repeated queries,...
Optimal Take-off under Fuzzy Clearances
arXiv:2602.13166v1 Announce Type: new Abstract: This paper presents a hybrid obstacle avoidance architecture that integrates Optimal Control under clearance with a Fuzzy Rule Based System (FRBS) to enable adaptive constraint handling for unmanned aircraft. Motivated by the limitations of classical...
OmniCustom: Sync Audio-Video Customization Via Joint Audio-Video Generation Model
arXiv:2602.12304v1 Announce Type: cross Abstract: Existing mainstream video customization methods focus on generating identity-consistent videos based on given reference images and textual prompts. Benefiting from the rapid advancement of joint audio-video generation, this paper proposes a more compelling new task:...
Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis
arXiv:2602.12373v1 Announce Type: cross Abstract: The opioid epidemic remains one of the most severe public health crises in the United States, yet evaluating policy interventions before implementation is difficult: multiple policies interact within a dynamic system where targeting one risk...
Why Deep Jacobian Spectra Separate: Depth-Induced Scaling and Singular-Vector Alignment
arXiv:2602.12384v2 Announce Type: cross Abstract: Understanding why gradient-based training in deep networks exhibits strong implicit bias remains challenging, in part because tractable singular-value dynamics are typically available only for balanced deep linear models. We propose an alternative route based on...
Rational Neural Networks have Expressivity Advantages
arXiv:2602.12390v1 Announce Type: cross Abstract: We study neural networks with trainable low-degree rational activation functions and show that they are more expressive and parameter-efficient than modern piecewise-linear and smooth activations such as ELU, LeakyReLU, LogSigmoid, PReLU, ReLU, SELU, CELU, Sigmoid,...
Agent Skills for Large Language Models: Architecture, Acquisition, Security, and the Path Forward
arXiv:2602.12430v2 Announce Type: cross Abstract: The transition from monolithic language models to modular, skill-equipped agents marks a defining shift in how large language models (LLMs) are deployed in practice. Rather than encoding all procedural knowledge within model weights, agent skills...
Designing RNAs with Language Models
arXiv:2602.12470v1 Announce Type: cross Abstract: RNA design, the task of finding a sequence that folds into a target secondary structure, has broad biological and biomedical impact but remains computationally challenging due to the exponentially large sequence space and exponentially many...
RAT-Bench: A Comprehensive Benchmark for Text Anonymization
arXiv:2602.12806v1 Announce Type: new Abstract: Data containing personal information is increasingly used to train, fine-tune, or query Large Language Models (LLMs). Text is typically scrubbed of identifying information prior to use, often with tools such as Microsoft's Presidio or Anthropic's...
AIWizards at MULTIPRIDE: A Hierarchical Approach to Slur Reclamation Detection
arXiv:2602.12818v1 Announce Type: new Abstract: Detecting reclaimed slurs represents a fundamental challenge for hate speech detection systems, as the same lexcal items can function either as abusive expressions or as in-group affirmations depending on social identity and context. In this...
Towards interpretable models for language proficiency assessment: Predicting the CEFR level of Estonian learner texts
arXiv:2602.13102v1 Announce Type: new Abstract: Using NLP to analyze authentic learner language helps to build automated assessment and feedback tools. It also offers new and extensive insights into the development of second language production. However, there is a lack of...
Alignment or Integration? Rethinking Multimodal Fusion in DNA-language Foundation Models
arXiv:2602.12286v1 Announce Type: cross Abstract: Fusing DNA foundation models with large language models (LLMs) for DNA-language reasoning raises a fundamental question: at what level should genomic sequences and natural language interact? Most existing approaches encode DNA sequences and text separately...
A Machine Learning Approach to the Nirenberg Problem
arXiv:2602.12368v1 Announce Type: new Abstract: This work introduces the Nirenberg Neural Network: a numerical approach to the Nirenberg problem of prescribing Gaussian curvature on $S^2$ for metrics that are pointwise conformal to the round metric. Our mesh-free physics-informed neural network...
Deep Doubly Debiased Longitudinal Effect Estimation with ICE G-Computation
arXiv:2602.12379v1 Announce Type: new Abstract: Estimating longitudinal treatment effects is essential for sequential decision-making but is challenging due to treatment-confounder feedback. While Iterative Conditional Expectation (ICE) G-computation offers a principled approach, its recursive structure suffers from error propagation, corrupting the...
Tight Bounds for Logistic Regression with Large Stepsize Gradient Descent in Low Dimension
arXiv:2602.12471v1 Announce Type: new Abstract: We consider the optimization problem of minimizing the logistic loss with gradient descent to train a linear model for binary classification with separable data. With a budget of $T$ iterations, it was recently shown that...
Bench-MFG: A Benchmark Suite for Learning in Stationary Mean Field Games
arXiv:2602.12517v1 Announce Type: new Abstract: The intersection of Mean Field Games (MFGs) and Reinforcement Learning (RL) has fostered a growing family of algorithms designed to solve large-scale multi-agent systems. However, the field currently lacks a standardized evaluation protocol, forcing researchers...
Efficient Personalized Federated PCA with Manifold Optimization for IoT Anomaly Detection
arXiv:2602.12622v1 Announce Type: new Abstract: Internet of things (IoT) networks face increasing security threats due to their distributed nature and resource constraints. Although federated learning (FL) has gained prominence as a privacy-preserving framework for distributed IoT environments, current federated principal...
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing - ACL Anthology
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts - ACL Anthology
Metaphors we judge (AI) by: a rhetorical analysis of artificial copyright disputes
Abstract This article is a ‘metaphorical’ guide to today’s most pressing artificial intelligence (AI) copyright questions, focusing in particular on the EU and the USA. Is unauthorized training on copyright-protected works permitted? Can AI models copy? And is AI-generated output...
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations - ACL Anthology
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: Industry Track - ACL Anthology
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations - ACL Anthology
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts - ACL Anthology
American Journal of International Law
The future of SEC enforcement authority
Please note that SCOTUS Outside Opinions constitute the views of outside contributors and do not necessarily reflect the opinions of SCOTUSblog or its staff. In April, the Supreme Court will hear Sripetch […]The postThe future of SEC enforcement authorityappeared first...
Our favorite SCOTUS quotes
Somewhat to our surprise, one of the most popular features of the SCOTUStoday newsletter (which you should sign up for, if you haven’t already) has turned out to be the […]The postOur favorite SCOTUS quotesappeared first onSCOTUSblog.
SCOTUStoday for Monday, February 16
As the U.S. Supreme Court has been observing its winter recess, the Supreme Court of the United Kingdom has been addressing some dairy drama. On Wednesday, it ruled that Oatly […]The postSCOTUStoday for Monday, February 16appeared first onSCOTUSblog.
Republicans urge Supreme Court to restore New York congressional map
A Republican member of Congress, a group of voters, and New York election officials asked the Supreme Court to allow the state to proceed with the 2026 elections using its […]The postRepublicans urge Supreme Court to restore New York congressional...