Tootfinder

Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Improved Message Delivery in Mobile Maternal Health
Arpan Dasgupta, Mizhaan Maniyar, Awadhesh Srivastava, Sanat Kumar, Amrita Mahale, Aparna Hedge, Arun Suggala, Karthikeyan Shanmugam, Aparna Taneja, Milind Tambe
https://arxiv.org/abs/2507.16356

Learning to Call: A Field Trial of a Collaborative Bandit Algorithm for Improved Message Delivery in Mobile Maternal Health
Mobile health (mHealth) programs utilize automated voice messages to deliver health information, particularly targeting underserved communities, demonstrating the effectiveness of using mobile technology to disseminate crucial health information to these populations, improving health outcomes through increased awareness and behavioral change. India's Kilkari program delivers vital maternal health information via weekly voice calls to millions of mothers. However, the current random call schedul…

Mapping The Invisible Internet: Framework and Dataset
Siddique Abubakr Muntaka, Jacques Bou Abdo, Kemi Akanbi, Sunkanmi Oluwadare, Faiza Hussein, Oliver Konyo, Michael Asante
https://arxiv.org/abs/2506.18159

Mapping The Invisible Internet: Framework and Dataset
This article presents a novel dataset focusing on the network layer of the Invisible Internet Project (I2P), where prior research has predominantly examined application layers like the dark web. Data was collected through the SWARM- I2P framework, deploying I2P routers as mapping agents, utilizing dynamic port mapping (30000-50000 range). The dataset documents over 50,000 nodes, including 2,077 FastSet nodes and 2,331 high-capacity nodes characterized by bandwidth, latency (mean 121.21ms +- 48.…

"Un document interne de Meta Platforms détaillant les politiques relatives au comportement des chatbots rélève qu'il est permis aux créations d'intelligence artificielle de l'entreprise « d'engager des conversations romantiques ou sensuelles avec des enfants », de générer de fausses informations médicales et d'aider les utilisateurs Š affirmer que les Noirs sont « plus bêtes que les Blancs ».

CASPER: Concept-integrated Sparse Representation for Scientific Retrieval
Lam Thanh Do, Linh Van Nguyen, David Fu, Kevin Chen-Chuan Chang
https://arxiv.org/abs/2508.13394 https:…

CASPER: Concept-integrated Sparse Representation for Scientific Retrieval
The exponential growth of scientific literature has made it increasingly difficult for researchers to keep up with the literature. In an attempt to alleviate this problem, we propose CASPER, a sparse retrieval model for scientific search that utilizes tokens and keyphrases as representation units (i.e. dimensions in the sparse embedding space), enabling it to represent queries and documents with research concepts and match them at both granular and conceptual levels. To overcome the lack of sui…

A secret Pentagon plan by the Trump administration would create a standing force of military personnel
that could be rapidly deployed to U.S. cities or communities to quell public protests
or any situation Donald Trump deems “domestic civil unrest.”
The proposal is to create a
“Domestic Civil Disturbance Quick Reaction Force”
— which evidence shows has been under serious consideration by the administration over recent months
— would utilize existing statu…

Pentagon plan would create military ‘reaction force’ for civil unrest
Documents reviewed by The Post detail a prospective National Guard mission that, if adopted, would require hundreds of troops to be ready around-the-clock.

@… peut-on utiliser les données osm pour creer des fond de cartes destinés Š l’animation/ film (par exemple documentaires) ?

This https://arxiv.org/abs/2505.10360 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

FactsR: A Safer Method for Producing High Quality Healthcare Documentation
There are now a multitude of AI-scribing solutions for healthcare promising the utilization of large language models for ambient documentation. However, these AI scribes still rely on one-shot, or few-shot prompts for generating notes after the consultation has ended, employing little to no reasoning. This risks long notes with an increase in hallucinations, misrepresentation of the intent of the clinician, and reliance on the proofreading of the clinician to catch errors. A dangerous combinati…

Propaganda and Information Dissemination in the Russo-Ukrainian War: Natural Language Processing of Russian and Western Twitter Narratives
Zaur Gouliev
https://arxiv.org/abs/2506.01807

Propaganda and Information Dissemination in the Russo-Ukrainian War: Natural Language Processing of Russian and Western Twitter Narratives
The conflict in Ukraine has been not only characterised by military engagement but also by a significant information war, with social media platforms like X, formerly known as Twitter playing an important role in shaping public perception. This article provides an analysis of tweets from propaganda accounts and trusted accounts collected from the onset of the war, February 2022 until the middle of May 2022 with n=40,000 total tweets. We utilise natural language processing and machine learning a…

La Section 6.3 des conditions mises Š jour prévoit que WeTransfer se voit accorder une licence perpétuelle sur vos contenus – sans limite dans le temps, donc – qui lui permet de les utiliser Š sa guise, sans contrepartie.
Concrètement, la licence autorise WeTransfer Š « utiliser, reproduire, distribuer, modifier, préparer des œuvres dérivées, communiquer au public, afficher ou exécuter le contenu ».
https://www.lemagit.fr/actualites/366627607/WeTransfer-se-donne-tous-les-droits-sur-vos-documents-comment-vous-proteger