Tootfinder

Ontem houve um incidente envolvendo um cachorro e esses gatos de rua que alimento. Foi um alívio agora ver a tricolor bem, ela que eu vi sendo perseguida pelo cachorro. Mas não vi a branquinha ou a preto e branca. Espero que apareçam mais tarde.

Sources: Raiders add ex-Bengal Pratt to LB mix https://www.espn.com/nfl/story/_/id/45494889/sources-germaine-pratt-raiders-agree-1-year-deal

I try to be polite and constructive on GitHub but today I couldn't resist some snark. I think Microsoft deserves it.
https://github.com/Azure/azure-service-bus-emulator-installer/issues/17#issuecomment-2790842139

Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs
Hiroshi Matsuda, Chunpeng Ma, Masayuki Asahara
https://arxiv.org/abs/2506.09983

Step-by-step Instructions and a Simple Tabular Output Format Improve the Dependency Parsing Accuracy of LLMs
Recent advances in large language models (LLMs) have enabled impressive performance in various tasks. However, standard prompting often struggles to produce structurally valid and accurate outputs, especially in dependency parsing. We propose a novel step-by-step instruction strategy, where universal part-of-speech tagging precedes the prediction of syntactic heads and dependency labels, and a simplified CoNLL-U like output format, our method achieves state-of-the-art accuracy on Universal Depe…

This https://arxiv.org/abs/2502.10090 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

Manual2Skill: Learning to Read Manuals and Acquire Robotic Skills for Furniture Assembly Using Vision-Language Models
Humans possess an extraordinary ability to understand and execute complex manipulation tasks by interpreting abstract instruction manuals. For robots, however, this capability remains a substantial challenge, as they cannot interpret abstract instructions and translate them into executable actions. In this paper, we present Manual2Skill, a novel framework that enables robots to perform complex assembly tasks guided by high-level manual instructions. Our approach leverages a Vision-Language Mode…

»Scams, wohin man schaut–Meta ist untätig bei Deepfake-Betrug, sagt die eigene Ethikkommission:
Betrüger können auf Facebook und Instagram ungehindert Prominente imitieren, während Meta tatenlos zuschaut und die Werbedollars einstreift«
Ach was, das ist nun so zu sagen offiziell und denen kümmert es einen Quatsch ausser Ausreden? So wie immer und seit je her sind die Profit gierig.
😒

Meta ist untätig bei Deepfake-Betrug, sagt die eigene Ethikkommission
Betrüger können auf Facebook und Instagram ungehindert Prominente imitieren, während Meta tatenlos zuschaut und die Werbedollars einstreift

Jazzaria – Bad Cream
#byncnd

@… I sincerely agree. First time I’ve not had even a glimmer of excitement to receive an OS update. Instead, a sense of fatigue and alienation.

LA anti-ICE riots are latest instance of Democrats 'on the wrong side': Joe Concha (Asher Notheis/Washington Examiner)
https://www.washingtonexaminer.com/news/crime/3434911/la-anti-ice-riots-democrats-wrong-side-joe-concha/
http://www.memeorandum.com/250608/p69#a250608p69

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset
Tyler J. Richards, Adam E. Flanders, Errol Colak, Luciano M. Prevedello, Robyn L. Ball, Felipe Kitamura, John Mongan, Maryam Vazirabad, Hui-Ming Lin, Anne Kendell, Thanat Kanthawang, Salita Angkurawaranon, Emre Altinmakas, Hakan Dogan, Paulo Eduardo de Aguiar Kuriki, Arjuna Somasundaram, Christopher Ruston, Deniz Bulja, Naida Spahovic, Jennifer Sommer, Sirui Jiang, Eduardo Moreno Judice de Mattos Farina, Edu…

The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset
The Radiological Society of North America (RSNA) Lumbar Degenerative Imaging Spine Classification (LumbarDISC) dataset is the largest publicly available dataset of adult MRI lumbar spine examinations annotated for degenerative changes. The dataset includes 2,697 patients with a total of 8,593 image series from 8 institutions across 6 countries and 5 continents. The dataset is available for free for non-commercial use via Kaggle and RSNA Medical Imaging Resource of AI (MIRA). The dataset was cre…