Tootfinder

Cardinals vs. Saints odds, prediction, bets: Proven model reveals free 2025 NFL Week 1 picks for Sunday

https://www.cbssports.com/nfl/news/cardina

Multimodal Large Language Model Framework for Safe and Interpretable Grid-Integrated EVs
Jean Douglas Carvalho, Hugo Kenji, Ahmad Mohammad Saber, Glaucia Melo, Max Mauro Dias Santos, Deepa Kundur
https://arxiv.org/abs/2510.02592

Multimodal Large Language Model Framework for Safe and Interpretable Grid-Integrated EVs
The integration of electric vehicles (EVs) into smart grids presents unique opportunities to enhance both transportation systems and energy networks. However, ensuring safe and interpretable interactions between drivers, vehicles, and the surrounding environment remains a critical challenge. This paper presents a multi-modal large language model (LLM)-based framework to process multimodal sensor data - such as object detection, semantic segmentation, and vehicular telemetry - and generate natur…

Med-K2N: Flexible K-to-N Modality Translation for Medical Image Synthesis
Feng Yuan, Yifan Gao, Yuehua Ye, Haoyue Li, Xin Gao
https://arxiv.org/abs/2510.02815 https://

Med-K2N: Flexible K-to-N Modality Translation for Medical Image Synthesis
Cross-modal medical image synthesis research focuses on reconstructing missing imaging modalities from available ones to support clinical diagnosis. Driven by clinical necessities for flexible modality reconstruction, we explore K to N medical generation, where three critical challenges emerge: How can we model the heterogeneous contributions of different modalities to various target tasks? How can we ensure fusion quality control to prevent degradation from noisy information? How can we mainta…

Truly, everyone's a "rogue capitalist" now.
It's almost like the problem with companies isn't whether their business model is based on showing you ads or charging you money,
but rather, whether they can abuse you for profit and get away with it.
-- Coty Doctorow
https://mamot.fr/@…

Cory Doctorow (@pluralistic@mamot.fr)
Attached: 1 image Apple has removed ICEBlock, a totally legal app that helps people track the movements of the masked snatch-squads who illegally terrorize brown people in America's cities, capitulating to a warrantless demand from Trump's DoJ boss Pam Bondi: https://www.404media.co/iceblock-owner-after-apple-removes-app-we-are-determined-to-fight-this/ -- If you'd like an essay-formatted version of this thread to read or share, here's a link to it on pluralistic.net, my surveillance-free,…

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature
Faruk Alpay, Bugra Kilictas, Hamdi Alakkad
https://arxiv.org/abs/2508.04612 https://

A Reproducible, Scalable Pipeline for Synthesizing Autoregressive Model Literature
The accelerating pace of research on autoregressive generative models has produced thousands of papers, making manual literature surveys and reproduction studies increasingly impractical. We present a fully open-source, reproducible pipeline that automatically retrieves candidate documents from public repositories, filters them for relevance, extracts metadata, hyper-parameters and reported results, clusters topics, produces retrieval-augmented summaries and generates containerised scripts for …

Sounds about right for a criminal regime that’s carrying out genocide. https://flipboard.com/@aljazeera/middle-east-news-oapkqap7z/-/a-IU5fv5REQhWV_lrAS277Jg:a:3199698-/0

Israel arrests ex-army lawyer for leaking video showing Palestinian’s abuse
Israel has arrested Yifat Tomer-Yerushalmi over her leaking of a video showing Israeli soldiers abusing prisoners. Israel has arrested former military prosecutor Yifat Tomer-Yerushalmi over her leaking of a video showing Israeli soldiers abusing a Palestinian detainee at the notorious Sde Teiman …

A RoBERTa-Based Functional Syntax Annotation Model for Chinese Texts
Han Xiaohui, Zhang Yunlong, Guo Yuxi
https://arxiv.org/abs/2509.04046 https://arxiv.or…

A RoBERTa-Based Functional Syntax Annotation Model for Chinese Texts
Systemic Functional Grammar and its branch, Cardiff Grammar, have been widely applied to discourse analysis, semantic function research, and other tasks across various languages and texts. However, an automatic annotation system based on this theory for Chinese texts has not yet been developed, which significantly constrains the application and promotion of relevant theories. To fill this gap, this research introduces a functional syntax annotation model for Chinese based on RoBERTa (Robustly O…

Synthesizer: a Software Package for Synthetic Astronomical Observables
Christopher C. Lovell, William J. Roper, Aswin P. Vijayan, Stephen M. Wilkins, Sophie Newman, Louise Seeyave
https://arxiv.org/abs/2508.03888

Synthesizer: a Software Package for Synthetic Astronomical Observables
We present Synthesizer, a fast, flexible, modular and extensible platform for modelling synthetic astrophysical observables. Synthesizer can be used for a number of applications, but is predominantly designed for generating mock observables from analytical and numerical galaxy formation simulations. These use cases include (but are not limited to) analytical modelling of the star formation and metal enrichment histories of galaxies, the creation of mock images and integral field unit observatio…

Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis
Xiaoyan Kui, Qianmu Xiao, Qqinsong Li, Zexin Ji, JIelin Zhang, Beiji Zou
https://arxiv.org/abs/2510.02970 https://

Flip Distribution Alignment VAE for Multi-Phase MRI Synthesis
Separating shared and independent features is crucial for multi-phase contrast-enhanced (CE) MRI synthesis. However, existing methods use deep autoencoder generators with low parameter efficiency and lack interpretable training strategies. In this paper, we propose Flip Distribution Alignment Variational Autoencoder (FDA-VAE), a lightweight feature-decoupled VAE model for multi-phase CE MRI synthesis. Our method encodes input and target images into two latent distributions that are symmetric co…

P-Aligner: Enabling Pre-Alignment of Language Models via Principled Instruction Synthesis
Feifan Song, Bofei Gao, Yifan Song, Yi Liu, Weimin Xiong, Yuyang Song, Tianyu Liu, Guoyin Wang, Houfeng Wang
https://arxiv.org/abs/2508.04626

P-Aligner: Enabling Pre-Alignment of Language Models via Principled Instruction Synthesis
Large Language Models (LLMs) are expected to produce safe, helpful, and honest content during interaction with human users, but they frequently fail to align with such values when given flawed instructions, e.g., missing context, ambiguous directives, or inappropriate tone, leaving substantial room for improvement along multiple dimensions. A cost-effective yet high-impact way is to pre-align instructions before the model begins decoding. Existing approaches either rely on prohibitive test-time…