Tootfinder

Near-future rocket launches could slow ozone recovery: #launches would start harming the ozone layer – new research: https://theconversation.com/a-10-fold-increase-in-rocket-launches-would-start-harming-the-ozone-layer-new-research-257480

Apple unveils a Liquid Glass design language across its platforms, adding transparency and glass shine effects to Apple's in-app interfaces (Tom Warren/The Verge)
https://www.theverge.com/news/682636/apple-liquid-design-glass-theme-wwdc-2025

Apple’s new design language is Liquid Glass
Apple is launching a new design language. Liquid Glass will be available on all of Apple’s software.

This https://arxiv.org/abs/2506.05850 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

Cross-lingual Collapse: How Language-Centric Foundation Models Shape Reasoning in Large Language Models
We identify \textbf{Cross-lingual Collapse}, a systematic drift in which the chain-of-thought (CoT) of a multilingual language model reverts to its dominant pre-training language even when the prompt is expressed in a different language. Recent large language models (LLMs) with reinforcement learning with verifiable reward (RLVR) have achieved strong logical reasoning performances by exposing their intermediate reasoning traces, giving rise to large reasoning models (LRMs). However, the mechani…

Der gute Herr #Dobrindt hat heute bei den Zahlen der Rechts- bzw Linksextremisten ein wenig mit den Skalen in den Grafiken geschummelt. Warum wohl?

Large Language Models for Multilingual Vulnerability Detection: How Far Are We?
Honglin Shu, Michael Fu, Junji Yu, Dong Wang, Chakkrit Tantithamthavorn, Junjie Chen, Yasutaka Kamei
https://arxiv.org/abs/2506.07503

Large Language Models for Multilingual Vulnerability Detection: How Far Are We?
Various deep learning-based approaches utilizing pre-trained language models (PLMs) have been proposed for automated vulnerability detection. With recent advancements in large language models (LLMs), several studies have begun exploring their application to vulnerability detection tasks. However, existing studies primarily focus on specific programming languages (e.g., C/C++) and function-level detection, leaving the strengths and weaknesses of PLMs and LLMs in multilingual and multi-granularit…

FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models
Xuan Xu, Fufang Wen, Beilin Chu, Zhibing Fu, Qinhong Lin, Jiaqi Liu, Binjie Fei, Zhongliang Yang, Linna Zhou, Yu Li
https://arxiv.org/abs/2506.06335

FinBERT2: A Specialized Bidirectional Encoder for Bridging the Gap in Finance-Specific Deployment of Large Language Models
In natural language processing (NLP), the focus has shifted from encoder-only tiny language models like BERT to decoder-only large language models(LLMs) such as GPT-3. However, LLMs' practical application in the financial sector has revealed three limitations: (1) LLMs often perform worse than fine-tuned BERT on discriminative tasks despite costing much higher computational resources, such as market sentiment analysis in financial reports; (2) Application on generative tasks heavily relies on r…

This https://arxiv.org/abs/2409.10283 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csRO_…

ASMA: An Adaptive Safety Margin Algorithm for Vision-Language Drone Navigation via Scene-Aware Control Barrier Functions
In the rapidly evolving field of vision-language navigation (VLN), ensuring safety for physical agents remains an open challenge. For a human-in-the-loop language-operated drone to navigate safely, it must understand natural language commands, perceive the environment, and simultaneously avoid hazards in real time. Control Barrier Functions (CBFs) are formal methods that enforce safe operating conditions. Model Predictive Control (MPC) is an optimization framework that plans a sequence of futur…

Your left and right brain hear language differently − a neuroscientist explains how https://theconversation.com/your-left-and-right-brain-hear-language-differently-a-neuroscientist-explains-how-257436

Your left and right brain hear language differently − a neuroscientist explains how
Left and right brains hear speech differently, yet how this divide forms was unclear − until mouse studies showed each hemisphere runs on its own developmental clock.

I just took a look at the proposed text for these "trump accounts".
The language begins at page 741 in the linked-to .pdf file, below.
The language is rather vague. For example, it does not indicate the base date for measuring the age of the "beneficiary". Is it the conception date or the live-birth date?
And the text is filled with terribly vague phrases like "Rules similar to the rules of section" - There are big devils lurking in that hor…

Trump to promote $1,000 ‘Trump Accounts’ for newborns at White House event
President Donald Trump is set to host a roundtable at the White House on Monday to promote a key feature of the sweeping Republican domestic policy bill – a provision that would provide every American newborn with a $1,000 investment account, a White House official told CNN.

Towards a Small Language Model Lifecycle Framework
Parsa Miraghaei, Sergio Moreschini, Antti Kolehmainen, David H\"astbacka
https://arxiv.org/abs/2506.07695

Towards a Small Language Model Lifecycle Framework
Background: The growing demand for efficient and deployable language models has led to increased interest in Small Language Models (SLMs). However, existing research remains fragmented, lacking a unified lifecycle perspective. Objective: This study aims to define a comprehensive lifecycle framework for SLMs by synthesizing insights from academic literature and practitioner sources. Method: We conducted a comprehensive survey of 36 works, analyzing and categorizing lifecycle-relevant techniq…