Tootfinder

🇺🇦 #NowPlaying on KEXP's #MechanicalBreakdown
La Mverte:
🎵 Last Dance
#LaMverte
https://lamverte.bandcamp.com/track/last-dance
https://open.spotify.com/track/48ZRVZQeoHC1oDvn0hJ6Md

MobRT: A Digital Twin-Based Framework for Scalable Learning in Mobile Manipulation
Yilin Mei, Peng Qiu, Wei Zhang, WenChao Zhang, Wenjie Song
https://arxiv.org/abs/2510.04592 ht…

MobRT: A Digital Twin-Based Framework for Scalable Learning in Mobile Manipulation
Recent advances in robotics have been largely driven by imitation learning, which depends critically on large-scale, high-quality demonstration data. However, collecting such data remains a significant challenge-particularly for mobile manipulators, which must coordinate base locomotion and arm manipulation in high-dimensional, dynamic, and partially observable environments. Consequently, most existing research remains focused on simpler tabletop scenarios, leaving mobile manipulation relativel…

How Important Is Preserving Democracy to Ukrainians? A Machine Learning Analysis of Democratic Attitudes: https://benborges.xyz/2025/10/08/how-important-is-preserving-democracy.html

Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
Alexandra Souly, Javier Rando, Ed Chapman, Xander Davies, Burak Hasircioglu, Ezzeldin Shereen, Carlos Mougan, Vasilios Mavroudis, Erik Jones, Chris Hicks, Nicholas Carlini, Yarin Gal, Robert Kirk
https://arxiv.org/abs/2510.07192…

Poisoning Attacks on LLMs Require a Near-constant Number of Poison Samples
Poisoning attacks can compromise the safety of large language models (LLMs) by injecting malicious documents into their training data. Existing work has studied pretraining poisoning assuming adversaries control a percentage of the training corpus. However, for large models, even small percentages translate to impractically large amounts of data. This work demonstrates for the first time that poisoning attacks instead require a near-constant number of documents regardless of dataset size. We co…

Multilingual Hope Speech Detection: A Comparative Study of Logistic Regression, mBERT, and XLM-RoBERTa with Active Learning
T. O. Abiola, K. D. Abiodun, O. E. Olumide, O. O. Adebanji, O. Hiram Calvo, Grigori Sidorov
https://arxiv.org/abs/2509.20315

Multilingual Hope Speech Detection: A Comparative Study of Logistic Regression, mBERT, and XLM-RoBERTa with Active Learning
Hope speech language that fosters encouragement and optimism plays a vital role in promoting positive discourse online. However, its detection remains challenging, especially in multilingual and low-resource settings. This paper presents a multilingual framework for hope speech detection using an active learning approach and transformer-based models, including mBERT and XLM-RoBERTa. Experiments were conducted on datasets in English, Spanish, German, and Urdu, including benchmark test sets from …

Hahahahaha. Pleur toch op zeg.
Wilders: ik vind dat wij een plek aan de onderhandelingstafel verdienen https://nos.nl/l/2589136#UPDATE-90005664

• Wilders wil meepraten over coalitie • Jetten zet in op 'stabiel kabinet'
In dit liveblog lees je het laatste politieke nieuws over de start van de formatie voor een nieuw kabinet.

🇺🇦 #NowPlaying on #BBC6Music's #LaurenLaverne
King Crimson:
🎵 21st Century Schizoid Man (incl. Mirrors)
#KingCrimson
https://warmsurplus.bandcamp.com/track/king-crimson-21st-century-schizoid-man-cover
https://open.spotify.com/track/2MfrET7Nc3StKQcGoZKqr9

Bought this a few months ago but didn’t come to read it until today. Very good. A comics biography of Eadweard Muybridge by Guy Delisle. With some nice easter eggs inside.
The last page FFS :)
#comics #photography

“Een complexe verkiezingsuitslag?”
Dat dacht ik toch niet. Het is heel simpel en welke coalitie er moet komen is ook helder.
Het enige complexe aan het geheel is de verantwoordelijkheidsvaksntie waar de VVD nu eens eindelijk van terug moet komen.
Koolmees: geen eenvoudige opdracht, maar ga snel aan slag https://nos.…

• Wilders wil meepraten over coalitie • Jetten zet in op 'stabiel kabinet'
In dit liveblog lees je het laatste politieke nieuws over de start van de formatie voor een nieuw kabinet.

Ascent Fails to Forget
Ioannis Mavrothalassitis, Pol Puigdemont, Noam Itzhak Levi, Volkan Cevher
https://arxiv.org/abs/2509.26427 https://arxiv.org/pdf/250…

Ascent Fails to Forget
Contrary to common belief, we show that gradient ascent-based unconstrained optimization methods frequently fail to perform machine unlearning, a phenomenon we attribute to the inherent statistical dependence between the forget and retain data sets. This dependence, which can manifest itself even as simple correlations, undermines the misconception that these sets can be independently manipulated during unlearning. We provide empirical and theoretical evidence showing these methods often fail p…