Tootfinder

Replicable Distribution Testing
Ilias Diakonikolas, Jingyi Gao, Daniel Kane, Sihan Liu, Christopher Ye
https://arxiv.org/abs/2507.02814 https://

Replicable Distribution Testing
We initiate a systematic investigation of distribution testing in the framework of algorithmic replicability. Specifically, given independent samples from a collection of probability distributions, the goal is to characterize the sample complexity of replicably testing natural properties of the underlying distributions. On the algorithmic front, we develop new replicable algorithms for testing closeness and independence of discrete distributions. On the lower bound front, we develop a new metho…

Google veröffentlicht App zum Testen lokaler KI-Modelle
Google hat ohne große Ankündigung eine App veröffentlicht, mit der Nutzer lokale KI-Modelle auf ihren Smartphones ausprobieren können.
https://ww…

Testimony from an Ogyen Kunzang Choling (OKC) Survivor https://buddhism-controversy-blog.com/2017/10/29/testimony-from-an-ogyen-kunsang-choling-okc-survivor/

"The immigration detention system has become a testing ground for authoritarianism." - @silkys13.bsky.social
https://bsky.app/profile/democracynow.org/post/3lqpltpcg522i

Meta-Fair: AI-Assisted Fairness Testing of Large Language Models
Miguel Romero-Arjona, Jos\'e A. Parejo, Juan C. Alonso, Ana B. S\'anchez, Aitor Arrieta, Sergio Segura
https://arxiv.org/abs/2507.02533

Meta-Fair: AI-Assisted Fairness Testing of Large Language Models
Fairness--the absence of unjustified bias--is a core principle in the development of Artificial Intelligence (AI) systems, yet it remains difficult to assess and enforce. Current approaches to fairness testing in large language models (LLMs) often rely on manual evaluation, fixed templates, deterministic heuristics, and curated datasets, making them resource-intensive and difficult to scale. This work aims to lay the groundwork for a novel, automated method for testing fairness in LLMs, reducin…

'This Is So Targeted and Intentional': New U.S. Military Grooming Policy Is ‘Racist,' Singles Out Black Servicemembers, Critics Say
https://atlantablackstar.com/2025/06/02/branches-of-the-u-s-military-target-black-men-as-they-tighten-or-rescind-shaving-waivers-on-medical-condition-that-affects-more-black-men-than-any-other-group/

A Vehicle-in-the-Loop Simulator with AI-Powered Digital Twins for Testing Automated Driving Controllers
Zengjie Zhang, Giannis Badakis, Michalis Galanis, Adem Bavar\c{s}i, Edwin van Hassel, Mohsen Alirezaei, Sofie Haesaert
https://arxiv.org/abs/2507.02313

A Vehicle-in-the-Loop Simulator with AI-Powered Digital Twins for Testing Automated Driving Controllers
Simulators are useful tools for testing automated driving controllers. Vehicle-in-the-loop (ViL) tests and digital twins (DTs) are widely used simulation technologies to facilitate the smooth deployment of controllers to physical vehicles. However, conventional ViL tests rely on full-size vehicles, requiring large space and high expenses. Also, physical-model-based DT suffers from the reality gap caused by modeling imprecision. This paper develops a comprehensive and practical simulator for tes…

Knappes Lithium: Wo der Rohstoff noch zu finden ist
Lithium ist ein knapper Rohstoff. Für Elektroauto-Batterien steigt indes die Nachfrage nach dem Rohstoff. Wo sollen die benötigten Mengen an Lithium herkommen?

Temac: Multi-Agent Collaboration for Automated Web GUI Testing
Chenxu Liu, Zhiyu Gu, Guoquan Wu, Ying Zhang, Jun Wei, Tao Xie
https://arxiv.org/abs/2506.00520

Temac: Multi-Agent Collaboration for Automated Web GUI Testing
Quality assurance of web applications is critical, as web applications play an essential role in people's daily lives. To reduce labor costs, automated web GUI testing (AWGT) is widely adopted, exploring web applications via GUI actions such as clicks and text inputs. However, these approaches face limitations in generating continuous and meaningful action sequences capable of covering complex functionalities. Recent work incorporates large language models (LLMs) for GUI testing. However, these…

iPanda: An Intelligent Protocol Testing and Debugging Agent for Conformance Testing
Xikai Sun, Fan Dang, Kebin Liu, Xin Miao, Zihao Yang, Haimo Lu, Yawen Zheng, Yunhao Liu
https://arxiv.org/abs/2507.00378

iPanda: An Intelligent Protocol Testing and Debugging Agent for Conformance Testing
Conformance testing is essential for ensuring that protocol implementations comply with their specifications. However, traditional testing approaches involve manually creating numerous test cases and scripts, making the process labor-intensive and inefficient. Recently, Large Language Models (LLMs) have demonstrated impressive text comprehension and code generation abilities, providing promising opportunities for automation. In this paper, we propose iPanda, the first end-to-end framework that …