Tootfinder

Slovakia hints it won't block 18th sanctions package following EU assurances: https://benborges.xyz/2025/07/15/slovakia-hints-it-wont-block.html

SAG-AFTRA's Interactive Media Agreement with game companies requires performers' informed consent for all planned AI use on their voice, likeness, and movements (Jeremy Fuster/The Wrap)
https://www.thewrap.com/sag-aftra-video-game-deal-details/

SAG-AFTRA Video Game Deal Includes AI Consent Guardrails, Minimum Rates for Digital Replica Use
Full text of the tentative SAG-AFTRA agreement will be released June 18 for a ratification vote period that ends July 9

Propensity score with factor loadings: the effect of the Paris Agreement
Angelo Forino, Andrea Mercatanti, Giacomo Morelli
https://arxiv.org/abs/2507.08764

Propensity score with factor loadings: the effect of the Paris Agreement
Factor models for longitudinal data, where policy adoption is unconfounded with respect to a low-dimensional set of latent factor loadings, have become increasingly popular for causal inference. Most existing approaches, however, rely on a causal finite-sample approach or computationally intensive methods, limiting their applicability and external validity. In this paper, we propose a novel causal inference method for panel data based on inverse propensity score weighting where the propensity s…

#jerecrute pas moi. Mais bonne boîte j'y ai travaillé.
https://www.linkedin.com/jobs/view/4248435284

Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models
Xiao Yu, Haoxuan Chen, Feifei Niu, Xing Hu, Jacky Wai Keung, Xin Xia
https://arxiv.org/abs/2506.10426

Towards Understanding Bugs in Distributed Training and Inference Frameworks for Large Language Models
With the rapid development of large language models (LLMs), distributed training and inference frameworks like DeepSpeed have become essential for scaling model training and inference across multiple GPUs or nodes. However, the increasing complexity of these frameworks brings non-trivial software bugs, which may degrade training performance, cause unexpected failures, and result in significant resource waste. Understanding framework bugs' characteristics is fundamental for quality assurance, al…

Active Learning for Text-to-Speech Synthesis with Informative Sample Collection
Kentaro Seki, Shinnosuke Takamichi, Takaaki Saeki, Hiroshi Saruwatari
https://arxiv.org/abs/2507.08319

Active Learning for Text-to-Speech Synthesis with Informative Sample Collection
The construction of high-quality datasets is a cornerstone of modern text-to-speech (TTS) systems. However, the increasing scale of available data poses significant challenges, including storage constraints. To address these issues, we propose a TTS corpus construction method based on active learning. Unlike traditional feed-forward and model-agnostic corpus construction approaches, our method iteratively alternates between data collection and model training, thereby focusing on acquiring data …

SAG-AFTRA's Interactive Media Agreement with game companies requires performers' informed consent for all planned AI use on their voice, likeness, and movements (Jeremy Fuster/The Wrap)
https://www.thewrap.com/sag-aftra-video-game-deal-details/

SAG-AFTRA Video Game Deal Includes AI Consent Guardrails, Minimum Rates for Digital Replica Use
Full text of the tentative SAG-AFTRA agreement will be released June 18 for a ratification vote period that ends July 9

EU expected to agree on new Moscow sanctions, Russian oil price cap, Reuters reports: https://benborges.xyz/2025/07/14/eu-expected-to-agree-on.html

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements
Seyed Moein Abtahi, Akramul Azim
https://arxiv.org/abs/2506.10330

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements
This study examined code issue detection and revision automation by integrating Large Language Models (LLMs) such as OpenAI's GPT-3.5 Turbo and GPT-4o into software development workflows. A static code analysis framework detects issues such as bugs, vulnerabilities, and code smells within a large-scale software project. Detailed information on each issue was extracted and organized to facilitate automated code revision using LLMs. An iterative prompt engineering process is applied to ensure tha…

3.5 billion euros in new funds pledged for Ukraine's reconstruction after Recovery Conference, ministry says: https://benborges.xyz/2025/07/13/billion-euros-in-new-funds.html