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...
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...
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...
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...
Vehicle behaviour estimation for abnormal event detection using distributed fiber optic sensing
arXiv:2602.12591v1 Announce Type: new Abstract: The distributed fiber-optic sensing (DFOS) system is a cost-effective wide-area traffic monitoring technology that utilizes existing fiber infrastructure to effectively detect traffic congestions. However, detecting single-lane abnormalities, that lead to congestions, is still a challenge....
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: 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
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.
A guide to some of the briefs in support of ending birthright citizenship
The Supreme Court will hear oral arguments on April 1 in the challenge to President Donald Trump’s executive order seeking to end the guarantee of citizenship to virtually everyone born […]The postA guide to some of the briefs in support...
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ICAIL 2026 – First Call for Papers
21th International Conference on Artificial Intelligence and Law Yong Pung How School of Law at the Singapore Management University (SMU) 8-12 June 2026 Since…
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Artificial Power: 2025 Landscape Report - AI Now Institute
In the aftermath of the “AI boom,” this report examines how the push to integrate AI products everywhere grants AI companies - and the tech oligarchs that run them - power that goes far beyond their deep pockets.
You May Already Be Bailing Out the AI Business - AI Now Institute
Fission for Algorithms: The Undermining of Nuclear Regulation in Service of AI - AI Now Institute
A report examining nuclear “fast-tracking” initiatives on their feasibility and their impact on nuclear safety, security, and safeguards.
JURIX 2024 call for papers - JURIX
JURIX 2024 – The 37th International Conference on Legal Knowledge and Information Systems December 11-13, 2024, Institute of Law and Technology (Faculty of Law), Masaryk University, Brno, Czech Republic https://jurix2024.law.muni.cz/ (Long, short, demo) paper submission: September 6, 2024 Abstract submission...
JURIX 2020
The conference will be held online