Tootfinder

“Therefore, because baby loves baby, baby must be me.”
https://blog.jle.im/entry/the-baby-paradox-in-haskell.html

The Baby Paradox in Haskell
Everybody Loves My Baby is a Jazz Standard from 1924 with the famous lyric: Everybody loves my baby, but my baby don’t love nobody but me. Which is often formalized as: \begin{align} \text{Axiom}_1 . & \forall x. \text{Loves}(x, \text{Baby}) \\ \text{Axiom}_2 . \forall x. & \text{Loves}(\text{Baby}, x) \implies x = me \end{align} Let’s prove in Haskell (in one line) that these two statements, taken together, imply that I am my own baby.

heise | Vom Text zum Bild: So funktioniert Stable Diffusion
Das frei verfügbare Stable Diffusion generiert aus Texten realitätsnahe und detailreiche Bilder. Wir erklären, wie die KI arbeitet.
https://www.

When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models
Cheng Wang, Gelei Deng, Xianglin Yang, Han Qiu, Tianwei Zhang
https://arxiv.org/abs/2508.15407 h…

When Audio and Text Disagree: Revealing Text Bias in Large Audio-Language Models
Large Audio-Language Models (LALMs) are enhanced with audio perception capabilities, enabling them to effectively process and understand multimodal inputs that combine audio and text. However, their performance in handling conflicting information between audio and text modalities remains largely unexamined. This paper introduces MCR-BENCH, the first comprehensive benchmark specifically designed to evaluate how LALMs prioritize information when presented with inconsistent audio-text pairs. Throu…

Dark Areas ⬛️
黑黢黢的角落 ⬛️
📷 Nikon FE
🎞️Ilford FP4 Plus, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

I'm seeing some really awful, low effort "may be..." ALT text recently. Clearly generated by an automatic process rather than by a human.
Is bad* alt text worse than no alt text?
*completely incorrect, and misleading
#Accessibility #a11y

CITE: A Comprehensive Benchmark for Heterogeneous Text-Attributed Graphs on Catalytic Materials
Chenghao Zhang, Qingqing Long, Ludi Wang, Wenjuan Cui, Jianjun Yu, Yi Du
https://arxiv.org/abs/2508.15392

CITE: A Comprehensive Benchmark for Heterogeneous Text-Attributed Graphs on Catalytic Materials
Text-attributed graphs(TAGs) are pervasive in real-world systems,where each node carries its own textual features. In many cases these graphs are inherently heterogeneous, containing multiple node types and diverse edge types. Despite the ubiquity of such heterogeneous TAGs, there remains a lack of large-scale benchmark datasets. This shortage has become a critical bottleneck, hindering the development and fair comparison of representation learning methods on heterogeneous text-attributed graph…

A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiology
Katelyn Morrison, Arpit Mathur, Aidan Bradshaw, Tom Wartmann, Steven Lundi, Afrooz Zandifar, Weichang Dai, Kayhan Batmanghelich, Motahhare Eslami, Adam Perer
https://arxiv.org/abs/2507.16207

A Human-Centered Approach to Identifying Promises, Risks, & Challenges of Text-to-Image Generative AI in Radiology
As text-to-image generative models rapidly improve, AI researchers are making significant advances in developing domain-specific models capable of generating complex medical imagery from text prompts. Despite this, these technical advancements have overlooked whether and how medical professionals would benefit from and use text-to-image generative AI (GenAI) in practice. By developing domain-specific GenAI without involving stakeholders, we risk the potential of building models that are either …

Senate GOP unlikely to release revised megabill text Monday (Jordain Carney/Politico)
https://www.politico.com/live-updates/2025/06/23/congress/senate-gop-megabill-text-delay-00418386
http://www.memeorandum.com/250623/p51#a250623p51

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation
Yiguo He, Junjie Zhu, Yiying Li, Xiaoyu Zhang, Chunping Qiu, Jun Wang, Qiangjuan Huang, Ke Yang
https://arxiv.org/abs/2507.16716

Enhancing Remote Sensing Vision-Language Models Through MLLM and LLM-Based High-Quality Image-Text Dataset Generation
The application of Vision-language foundation models (VLFMs) to remote sensing (RS) imagery has garnered significant attention due to their superior capability in various downstream tasks. A key challenge lies in the scarcity of high-quality, large-scale, image-text paired training data. Recently, several works introduced extensive image-text datasets for RS and trained their VLFMs. However, due to the rudimentary methods used for generating captions, the quality of datasets is suboptimal, requ…

Originally on smartphones, email and text messages were part of the same app. Text messaging was great for the turn-of-the-century phones that don't have internet access. Today, text messaging SHOULD be obsolete since everyone has internet.

TTMBA: Towards Text To Multiple Sources Binaural Audio Generation
Yuxuan He, Xiaoran Yang, Ningning Pan, Gongping Huang
https://arxiv.org/abs/2507.16564 ht…

TTMBA: Towards Text To Multiple Sources Binaural Audio Generation
Most existing text-to-audio (TTA) generation methods produce mono outputs, neglecting essential spatial information for immersive auditory experiences. To address this issue, we propose a cascaded method for text-to-multisource binaural audio generation (TTMBA) with both temporal and spatial control. First, a pretrained large language model (LLM) segments the text into a structured format with time and spatial details for each sound event. Next, a pretrained mono audio generation network create…

Just picked up this #Salter Improved Family Scale to gift a friend who's getting married and is into old-fashioned stuff and British stuff.
But, it doesn't quite sit at 0. Does anyone have any experience on how to tare a machine like this? There's no knob as far as I can see. The plate on top also doesn't seem like it can be removed without force.
More pictures below. …

IF YOU EVER FEEL HEAVY
BECAUSE YOU CARE DEEPLY ABOUT INJUSTICE, SUFFERING AND ECOLOGICAL DESTRUCTION,
REMEMBER THAT A TRILLION
DOLLAR PROPAGANDA MACHINE
WAS BUILT TO MAKE YOU NUMB
AND IT DIDN'T WORK ON YOU
-- Natasha Jay
https://tech.lgbt/@Natasha_Jay/1147281

Natasha Jay 🇪🇺 (@Natasha_Jay@tech.lgbt)
Attached: 1 image I needed to read this today. Thought someone else might need it too.

So, gerade gezeichnet.
https://mastodon.social/@ak_text/114900970362032238

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation
Muhammad Aqeel, Maham Nazir, Zanxi Ruan, Francesco Setti
https://arxiv.org/abs/2507.15361

Latent Space Synergy: Text-Guided Data Augmentation for Direct Diffusion Biomedical Segmentation
Medical image segmentation suffers from data scarcity, particularly in polyp detection where annotation requires specialized expertise. We present SynDiff, a framework combining text-guided synthetic data generation with efficient diffusion-based segmentation. Our approach employs latent diffusion models to generate clinically realistic synthetic polyps through text-conditioned inpainting, augmenting limited training data with semantically diverse samples. Unlike traditional diffusion methods r…

I saw this on TwiX and had to turn it into a meme.
h/t @never_oppressed
#Gaza #Iran #warCrimes

Google releases a study saying a median Gemini text prompt uses 0.26mm of water and makes ~0.03g CO2; critics call it misleading for omitting indirect water use (Justine Calma/The Verge)
https://www.theverge.com/report/763080/google-ai-gemini-water-energy…

Google says a typical AI text prompt only uses 5 drops of water — experts say that’s misleading
Google estimates that a Gemini text prompt uses a minimal amount of water and energy, but experts say the study paints an incomplete picture of AI’s environmental toll.

AmbiSQL: Interactive Ambiguity Detection and Resolution for Text-to-SQL
Zhongjun Ding, Yin Lin, Tianjing Zeng
https://arxiv.org/abs/2508.15276 https://arxi…

AmbiSQL: Interactive Ambiguity Detection and Resolution for Text-to-SQL
Text-to-SQL systems translate natural language questions into SQL queries, providing substantial value for non-expert users. While large language models (LLMs) show promising results for this task, they remain error-prone. Query ambiguity has been recognized as a major obstacle for LLM-based Text-to-SQL systems, leading to misinterpretation of user intent and inaccurate SQL generation. We demonstrate AmbiSQL, an interactive system that automatically detects query ambiguities and guides users th…

DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling
Boheng Li, Junjie Wang, Yiming Li, Zhiyang Hu, Leyi Qi, Jianshuo Dong, Run Wang, Han Qiu, Zhan Qin, Tianwei Zhang
https://arxiv.org/abs/2507.16329

DREAM: Scalable Red Teaming for Text-to-Image Generative Systems via Distribution Modeling
Despite the integration of safety alignment and external filters, text-to-image (T2I) generative models are still susceptible to producing harmful content, such as sexual or violent imagery. This raises serious concerns about unintended exposure and potential misuse. Red teaming, which aims to proactively identify diverse prompts that can elicit unsafe outputs from the T2I system (including the core generative model as well as potential external safety filters and other processing components), …

github stopped offering text completions for pull requests https://github.blog/changelog/2025-08-15-deprecating-copilot-text-completion-for-pull-request-descriptions/

Deprecating Copilot text completion for pull request descriptions - GitHub Changelog
On September 12, 2025, we will retire Copilot text completion for pull request descriptions. After this date, when you start writing a description, Copilot will no longer suggest completions. This…

CNN-Derived Elemental Abundances of LAMOST DR10 Giants: Implications for Galactic Substructures
Haoyang Liu, Cuihua Du, Mingji Deng, Jian Zhang
https://arxiv.org/abs/2506.16135

CNN-Derived Elemental Abundances of LAMOST DR10 Giants: Implications for Galactic Substructures
Stellar parameters and abundances provide crucial insights into stellar and Galactic evolution studies. In this work, we developed a convolutional neural network (CNN) to estimate stellar parameters: effective temperature ($T_{\text{eff}}$), surface gravity (log $g$) and metallicity (both [Fe/H] and [M/H]) as well as six $α$-elements (C, N, O, Mg, Si, Ca) and [$α$/M]. We selected giant stars with \( 3500 \, \text{K} < T_{\text{eff}} < 5500 \, \text{K} \) and \( 0 \, \text{dex} < \log g < 3.6 …

Cohen-Macaulay approximations and the $\text{SC}_r$-condition
Richard F. Bartels
https://arxiv.org/abs/2507.14424 https://arxiv.org/p…

Cohen-Macaulay approximations and the $\text{SC}_r$-condition
We study the relation between MCM approximations and FID hulls of modules over a Cohen-Macaulay local ring $R$ with canonical module, specifically when $R$ is generically Gorenstein. We then generalize a result of Kato, who proved that a Gorenstein complete local ring $R$ satisfies the $\text{SC}_{2}$-condition if and only if $R$ is a UFD. For $r \geq 3$, we prove a criterion for when an MCM $R$-module $M$ satisfies the $\text{SC}_{r}$-condition, assuming that its first syzygy $Ω_{R}^{1}(M)$ s…

On the ring of cooperations for real Hermitian K-theory
Jackson Morris
https://arxiv.org/abs/2506.16672 https://arxiv.org/pdf/2506.16…

On the ring of cooperations for real Hermitian K-theory
Let kq denote the very effective cover of the motivic Hermitian K-theory spectrum. We analyze the ring of cooperations $π^\mathbb{R}_{**}(\text{kq} \otimes \text{kq})$ in the stable motivic homotopy category $\text{SH}(\mathbb{R})$, giving a full description in terms of Brown--Gitler comodules. To do this, we decompose the $E_2$-page of the motivic Adams spectral sequence and show that it must collapse. The description of the $E_2$-page is accomplished by a series of algebraic Atiyah--Hirzebru…

Architecture is All You Need: Improving LLM Recommenders by Dropping the Text
Kevin Foley, Shaghayegh Agah, Kavya Priyanka Kakinada
https://arxiv.org/abs/2506.15833

Architecture is All You Need: Improving LLM Recommenders by Dropping the Text
In recent years, there has been an explosion of interest in the applications of large pre-trained language models (PLMs) to recommender systems, with many studies showing strong performance of PLMs on common benchmark datasets. PLM-based recommender models benefit from flexible and customizable prompting, an unlimited vocabulary of recommendable items, and general ``world knowledge'' acquired through pre-training on massive text corpora. While PLM-based recommenders show promise in settings whe…

Modeling the coincident three-ion momentum imaging of diiodomethane photodissociation on reduced-dimensional potential energy surfaces
Yijue Ding
https://arxiv.org/abs/2507.14611 …

Modeling the coincident three-ion momentum imaging of diiodomethane photodissociation on reduced-dimensional potential energy surfaces
We present an efficient theoretical model to simulate observables in the time-resolved coincident three-ion Coulomb explosion experiment of diiodomethane. The model employs two degrees of freedom to characterize the C-I bond breaking and the $\text{CH}_2\text{I}$ rotation during photodissociation, and three degrees of freedom to characterize the coincident $\text{CH}_2^{+}+\text{I}^{2+}+\text{I}^{2+}$ fragmentation during the following Coulomb explosion. By solving the equation of motion, the p…

Binary black hole population inference combining confident and marginal events from the $\tt{IAS\text{-}HM}$ search pipeline
Ajit Kumar Mehta, Digvijay Wadekar, Isha Anantpurkar, Javier Roulet, Tejaswi Venumadhav, Tousif Islam, Jonathan Mushkin, Barak Zackay, Matias Zaldarriaga
https://arxiv.org/abs/2508.15350

Binary black hole population inference combining confident and marginal events from the $\tt{IAS\text{-}HM}$ search pipeline
We present the population properties of binary black hole mergers identified by the $\tt{IAS\text{-}HM}$ pipeline (which incorporates higher-order modes in the search templates) during the third observing run (O3) of the LIGO, Virgo, and KAGRA (LVK) detectors. In our population inference analysis, instead of only using events above a sharp cut based on a particular detection threshold (e.g., false alarm rate), we use a Bayesian framework to consistently include both marginal and confident event…

TComQA: Extracting Temporal Commonsense from Text
Lekshmi R Nair, Arun Sankar, Koninika Pal
https://arxiv.org/abs/2508.15274 https://arxiv.org/pdf/2508.152…

TComQA: Extracting Temporal Commonsense from Text
Understanding events necessitates grasping their temporal context, which is often not explicitly stated in natural language. For example, it is not a trivial task for a machine to infer that a museum tour may last for a few hours, but can not take months. Recent studies indicate that even advanced large language models (LLMs) struggle in generating text that require reasoning with temporal commonsense due to its infrequent explicit mention in text. Therefore, automatically mining temporal commo…

I'm not saying I'd do it again, but I totally will...

2. Many online accessibility checkers apparently audit text contrast without actually applying `prefers-contrast: more` to the stylesheet. This seems…broken?

trec: TREC collection (2010)
A bipartite network of documents and the words they contain, extracted from NIST's Text Retrieval Conference (TREC) disks 4 and 5, from 2010. These archives contain material drawn from the Financial Times Ltd., the Congressional Record of the 103rd Congress, the Federal Register, the Foreign Broadcast Information Service, and the Los Angeles Times newspaper.
This network has 1729302 nodes and 83629405 edges.
Tags: Informational, Language, Un…

CFP: Kunstbäume in Text und Bild der Vormoderne 2.0. – Kommunikation in ökologischen Verflechtungen, Frankfurt am Main (13.07.2025)
https://ift.tt/uLxXhej
New Journal and CFP: Inaugural Issue of Central Europe Yearbook Now Available The…
via Input 4 RELCFP

Underground ⤵️
地下 ⤵️
📷 Minolta Hi-Matic AF
🎞️ERA 100, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Prompt-aware of Frame Sampling for Efficient Text-Video Retrieval
Deyu Zhang, Tingting Long, Jinrui Zhang, Ligeng Chen, Ju Ren, Yaoxue Zhang
https://arxiv.org/abs/2507.15491

Prompt-aware of Frame Sampling for Efficient Text-Video Retrieval
Enabling efficient text-video retrieval on edge-end devices is critical for real-world applications. Yet, existing methods face a critical challenge in balancing accuracy and computational efficiency: uniform frame sampling methods ensure content coverage but incur prohibitive computational costs, while salient-frame sampling methods reduce overhead but suffer from query-agnostic frame selection that biases retrieval results. To address this, we propose ProCLIP, a user-centric framework that ac…

SustainDiffusion: Optimising the Social and Environmental Sustainability of Stable Diffusion Models
Giordano d'Aloisio, Tosin Fadahunsi, Jay Choy, Rebecca Moussa, Federica Sarro
https://arxiv.org/abs/2507.15663

SustainDiffusion: Optimising the Social and Environmental Sustainability of Stable Diffusion Models
Background: Text-to-image generation models are widely used across numerous domains. Among these models, Stable Diffusion (SD) - an open-source text-to-image generation model - has become the most popular, producing over 12 billion images annually. However, the widespread use of these models raises concerns regarding their social and environmental sustainability. Aims: To reduce the harm that SD models may have on society and the environment, we introduce SustainDiffusion, a search-based appr…

VideoEraser: Concept Erasure in Text-to-Video Diffusion Models
Naen Xu, Jinghuai Zhang, Changjiang Li, Zhi Chen, Chunyi Zhou, Qingming Li, Tianyu Du, Shouling Ji
https://arxiv.org/abs/2508.15314

VideoEraser: Concept Erasure in Text-to-Video Diffusion Models
The rapid growth of text-to-video (T2V) diffusion models has raised concerns about privacy, copyright, and safety due to their potential misuse in generating harmful or misleading content. These models are often trained on numerous datasets, including unauthorized personal identities, artistic creations, and harmful materials, which can lead to uncontrolled production and distribution of such content. To address this, we propose VideoEraser, a training-free framework that prevents T2V diffusion…

#USpol

EDIT: See my follow-up reply framing why this may be a bad resource after all.
List of EAA penalties, authorities, and lawsuit risk by country is the useful (to me) section here:
https://equalizedigital.com/european-accessibility-ac…

The Ultimate Guide to the European Accessibility Act for WordPress - Equalize Digital
See what the European Accessibility Act means for your WordPress website and business. Laws and penalties for all 27 countries summarized.

heise | macOS: Stable Diffusion in die eigene App integrieren
Ohne Training, aber mit dem vollen Potenzial von Apples Hardware: So binden Sie den Text-zu-Bild-Generator in Ihre eigene App ein.
https://www.

#SPARQL -Spielerei: Die Gemälde der Berliner Gemäldegalerie nach Fläche geordnet: https://qlever.cs.uni-freiburg.de/wikidata/DanBp9 (Ausführungszeit 166ms, im WDQS landet die Anfrage im …

Beginning the second day of the #Rotary International 2025 Convention in Calgary, Canada… over 15,000 people here!

Effects of turbulence spreading and symmetry breaking on edge shear flow during sawtooth cycles in J-TEXT tokamak
Xiaoguan Ding, Kaijun Zhao, Yaoyu Xie, Zhipeng Chen, Zhongyong Chen, Zhoujun Yang, Li Gao, Yonghua Ding, Siyu Wen, Yingxin Hu
https://arxiv.org/abs/2507.15201

Effects of turbulence spreading and symmetry breaking on edge shear flow during sawtooth cycles in J-TEXT tokamak
Sawtooth oscillations can trigger off heat and turbulence pulses that propagate into the edge plasma, and thus enhancing the edge shear flow and inducing a transition from low confinement mode to high confinement mode. The influences of turbulence spreading and symmetry breaking on edge shear flow with sawtooth crashes are observed in the J-TEXT tokamak. The edge plasma turbulence and shear flow are measured using a fast reciprocating electrostatic probe array. After sawtooth crashes, the heat …

I have, as a side project, been trying to automate the generation of interesting word-clouds from English text, and it's surprisingly difficult. If you take the commonest words in a text, they're all common words:
"are" "which" "of" "this" "not" "it" "is" "for" "that" "a" "on" "but" "be" "and" "i" "to" "we" &qu…

Already worked on a small improvement to @… – to provide some more context in the alt-text of the images.
The best idea I've come up for now: Get the features that close to the location of the image from #openstreetmap to get an idea what's "on the map" there.
See some examples on Codeberg: #panoramax

I blame my parents.

Borrowing this idea from @… 🙏
#PhanpySocialDev

Diesen Samstag! Wenn ihr nicht den ganzen Tag Zeit habt, kommt zu einem Teil der Veranstaltung. #Karlsruhe #KA2607

Hedrzliche Einladung zum Relate Summerfrest
So. 27. Juli ab 18 Uhr
Trendsportfeld, Scharnauser Park #Ostfildern Es gibt Foodstände, ne Menge Sport, Musik und coole Gemeinschaft.
Mehr zu relate unter https://relate.events/

Shout-out an Münsteraner Studierende: Das Münster Center for Open Science (MüCOS) sucht studentische Hilfskräfte!
Bei Interesse beim @… melden!
https://www.uni-muenster.de/MueCOS/

Time For 9 o'clock #HashTagGames hosted by @… Let's play!
#ShowsOrMoviesAboutPie

Vier neue #Elektrobusse ergänzen seit Juni den #Nahverkehr in #Plauen.
Die zwölf Meter langen eCitaro bieten 85 Plätze und erleichtern mit Niederflur und breitem Gang das Einsteigen für Rol…

Elektro-Busse im Plauener Stadtgebiet unterwegs
Oberbürgermeister Steffen Zenner war zusammen mit Landrat Thomas Hennig einer der ersten, der einen Blick in die neuen Elektro-Busse der Plauener Straßenbahn GmbH werfen konnte. Vier batterieelektrisch betriebene Busse sind ab jetzt schrittweise im Streckennetz der PSB unterwegs: Am 4. Juni wurden sie auf dem Betriebshof in der Wiesenstraße durch Oberbürgermeister Steffen Zenner, Landrat Thomas Hennig, dem Geschäftsführer der PSB, Karsten Treiber, sowie Ulrich Piotrowski, Verkaufsleiter b…

Comparative Evaluation of Text and Audio Simplification: A Methodological Replication Study
Prosanta Barai, Gondy Leroy, Arif Ahmed
https://arxiv.org/abs/2508.15088 https://

Comparative Evaluation of Text and Audio Simplification: A Methodological Replication Study
This study serves as a methodological replication of Leroy et al. (2022) research, which investigated the impact of text simplification on healthcare information comprehension in the evolving multimedia landscape. Building upon the original studys insights, our replication study evaluates audio content, recognizing its increasing importance in disseminating healthcare information in the digital age. Specifically, we explored the influence of text simplification on perceived and actual difficult…

Am 25. Juni ist der Tag der Seeleute
Day of the Seafarer auf Englisch - wir schlagen obige Bezeichnung auf Deutsch vor:
- Seeleute ist schon im 19. Jh. der Plural von Seemann
- es ist der Begriff für Menschen, die an Bord der Schiffe arbeiten (Seefahrer können auch Könige und Abenteurer sein…)

Wow, some of you *really* came prepared! This visitor had their kids mark everything in the program booklet they were interested in and wanted to see. We hope you get to catch it all!
@…
#ndwgoe

Explainxkcd's text[1] about yesterday's #xkcd[2] was way more interesting and funny that I had expected[3]: the authors apparently interpreted the title text as a challenge. 😂
[1] https://www.explainxkcd.com/…

🎼 So Long, GPN 🎶
🤗 👋
#GPN23

Why #Apple??
#iMessage

From
"A forever home for your collection #Pocket becomes your permanent library—so even if a page you’ve saved is taken down, you’ll still have a copy of it in Pocket."
to
"Your export file will include links (URLs) of your saved items. The export does not extract the text of saved links."
Thanks for nothing,

Transcript of Trump's speech on US strikes on Iran (Associated Press)
https://apnews.com/article/trump-iran-speech-transcript-text-ff4b286992309ec1337e04260247bb1e
http://www.memeorandum.com/250622/p1#a250622p1

Comprehensive Privacy Risk Assessment in Social Networks Using User Attributes Social Graphs and Text Analysis
Md Jahangir Alam, Ismail Hossain, Sai Puppala, Sajedul Talukder
https://arxiv.org/abs/2507.15124

Comprehensive Privacy Risk Assessment in Social Networks Using User Attributes Social Graphs and Text Analysis
The rise of social networking platforms has amplified privacy threats as users increasingly share sensitive information across profiles, content, and social connections. We present a Comprehensive Privacy Risk Scoring (CPRS) framework that quantifies privacy risk by integrating user attributes, social graph structures, and user-generated content. Our framework computes risk scores across these dimensions using sensitivity, visibility, structural similarity, and entity-level analysis, then aggre…

📉 Here's what I think about Curtis Yarvin
#politics

The moment I install Arch, I’m swept away by its customization, yet somehow, I find myself missing the stable comfort of a rock, and before I know it, I’m back on Debian again!
#ArchLinux #Arch #Rock

R.I.P. WELSO - ermordet von Medien, Politik und Inkompetenz.
(geklaut bei @…)

Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
Tobias Schreieder, Tim Schopf, Michael F\"arber
https://arxiv.org/abs/2508.15396

Attribution, Citation, and Quotation: A Survey of Evidence-based Text Generation with Large Language Models
The increasing adoption of large language models (LLMs) has been accompanied by growing concerns regarding their reliability and trustworthiness. As a result, a growing body of research focuses on evidence-based text generation with LLMs, aiming to link model outputs to supporting evidence to ensure traceability and verifiability. However, the field is fragmented due to inconsistent terminology, isolated evaluation practices, and a lack of unified benchmarks. To bridge this gap, we systematical…

From Text to Actionable Intelligence: Automating STIX Entity and Relationship Extraction
Ahmed Lekssays, Husrev Taha Sencar, Ting Yu
https://arxiv.org/abs/2507.16576

From Text to Actionable Intelligence: Automating STIX Entity and Relationship Extraction
Sharing methods of attack and their effectiveness is a cornerstone of building robust defensive systems. Threat analysis reports, produced by various individuals and organizations, play a critical role in supporting security operations and combating emerging threats. To enhance the timeliness and automation of threat intelligence sharing, several standards have been established, with the Structured Threat Information Expression (STIX) framework emerging as one of the most widely adopted. Howeve…

On Evaluating the Adversarial Robustness of Foundation Models for Multimodal Entity Linking
Fang Wang, Yongjie Wang, Zonghao Yang, Minghao Hu, Xiaoying Bai
https://arxiv.org/abs/2508.15481

On Evaluating the Adversarial Robustness of Foundation Models for Multimodal Entity Linking
The explosive growth of multimodal data has driven the rapid development of multimodal entity linking (MEL) models. However, existing studies have not systematically investigated the impact of visual adversarial attacks on MEL models. We conduct the first comprehensive evaluation of the robustness of mainstream MEL models under different adversarial attack scenarios, covering two core tasks: Image-to-Text (I2T) and Image+Text-to-Text (IT2T). Experimental results show that current MEL models gen…

Google Photos will let users edit images using text or voice prompts, first on Pixel 10 devices in the US, and will add support for C2PA Content Credentials (Sarah Perez/TechCrunch)
https://techcrunch.com/2025/08/20/you-can-now-talk-to-google-photos-to…

You can now talk to Google Photos to make your edits | TechCrunch
Google Photos introduces an "ask to edit" feature that lets you speak or text your edit requests.

California SB 627 amended, passed.
Making a Misdemeanor:
⭐️ANY Law Enforcement officer, state or federal,
“shall not wear any mask or personal disguise while interacting with the public” (N95 ok)
⭐️“require (LE) officers to include their name or badge number on their uniforms”

Uneven Lives II 👁️
不工整人生 II 👁️
📷 Minolta Hi-Matic AF
🎞️ERA 100, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

trec: TREC collection (2010)
A bipartite network of documents and the words they contain, extracted from NIST's Text Retrieval Conference (TREC) disks 4 and 5, from 2010. These archives contain material drawn from the Financial Times Ltd., the Congressional Record of the 103rd Congress, the Federal Register, the Foreign Broadcast Information Service, and the Los Angeles Times newspaper.
This network has 1729302 nodes and 83629405 edges.
Tags: Informational, Language, Un…

Service-Link zur heutigen @… -Veranstaltung anlässlich des #Digitaltag2025 (vgl. https://

Detecting LLM-Generated Short Answers and Effects on Learner Performance
Shambhavi Bhushan, Danielle R Thomas, Conrad Borchers, Isha Raghuvanshi, Ralph Abboud, Erin Gatz, Shivang Gupta, Kenneth Koedinger
https://arxiv.org/abs/2506.17196

Detecting LLM-Generated Short Answers and Effects on Learner Performance
The increasing availability of large language models (LLMs) has raised concerns about their potential misuse in online learning. While tools for detecting LLM-generated text exist and are widely used by researchers and educators, their reliability varies. Few studies have compared the accuracy of detection methods, defined criteria to identify content generated by LLM, or evaluated the effect on learner performance from LLM misuse within learning. In this study, we define LLM-generated text wit…

Time For 9 o'clock #HashTagGames hosted by @… Let's play!
#LesserKnownFanConventions

„Du hast Home schon geliebt?“
Dann schnall dich an: Unsere neue Single #TRAITOR ist härter, dunkler – und bleibt trotzdem im Ohr hängen.
🎧 Jetzt überall streamen: https://push.fm/fl/traitor
⸻

Waver: Wave Your Way to Lifelike Video Generation
Yifu Zhang, Hao Yang, Yuqi Zhang, Yifei Hu, Fengda Zhu, Chuang Lin, Xiaofeng Mei, Yi Jiang, Zehuan Yuan, Bingyue Peng
https://arxiv.org/abs/2508.15761 …

Waver: Wave Your Way to Lifelike Video Generation
We present Waver, a high-performance foundation model for unified image and video generation. Waver can directly generate videos with durations ranging from 5 to 10 seconds at a native resolution of 720p, which are subsequently upscaled to 1080p. The model simultaneously supports text-to-video (T2V), image-to-video (I2V), and text-to-image (T2I) generation within a single, integrated framework. We introduce a Hybrid Stream DiT architecture to enhance modality alignment and accelerate training c…

Park Discovery 🏞️
公园探险 🏞️
📷 Nikon FE
🎞️Lucky SHD 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Yiding Cao Geld mit PayPal.Me senden
Folgen Sie dem Link PayPal.Me/dingsterdingster und geben Sie den Betrag ein. Es ist bequem und sicher. Sie haben noch kein PayPal-Konto? Kein Problem.

trec: TREC collection (2010)
A bipartite network of documents and the words they contain, extracted from NIST's Text Retrieval Conference (TREC) disks 4 and 5, from 2010. These archives contain material drawn from the Financial Times Ltd., the Congressional Record of the 103rd Congress, the Federal Register, the Foreign Broadcast Information Service, and the Los Angeles Times newspaper.
This network has 1729302 nodes and 83629405 edges.
Tags: Informational, Language, Un…

Two Birds with One Stone: Multi-Task Detection and Attribution of LLM-Generated Text
Zixin Rao, Youssef Mohamed, Shang Liu, Zeyan Liu
https://arxiv.org/abs/2508.14190 https://…

Two Birds with One Stone: Multi-Task Detection and Attribution of LLM-Generated Text
Large Language Models (LLMs), such as GPT-4 and Llama, have demonstrated remarkable abilities in generating natural language. However, they also pose security and integrity challenges. Existing countermeasures primarily focus on distinguishing AI-generated content from human-written text, with most solutions tailored for English. Meanwhile, authorship attribution--determining which specific LLM produced a given text--has received comparatively little attention despite its importance in forensic…

Federal health officials are seeking to launch a “bold, edgy” public service campaign to warn Americans of the dangers of ultra-processed foods in social media, transit ads, billboards and even text messages.
-- And they potentially stand to profit off the results.
Calley Means, a key adviser to Bobby Kennedy, could directly benefit from one of the campaign’s stated aims:
popularizing “technology like wearables as cool, modern tools for measuring diet impact and taking contr…

HebID: Detecting Social Identities in Hebrew-language Political Text
Guy Mor-Lan, Naama Rivlin-Angert, Yael R. Kaplan, Tamir Sheafer, Shaul R. Shenhav
https://arxiv.org/abs/2508.15483

HebID: Detecting Social Identities in Hebrew-language Political Text
Political language is deeply intertwined with social identities. While social identities are often shaped by specific cultural contexts and expressed through particular uses of language, existing datasets for group and identity detection are predominantly English-centric, single-label and focus on coarse identity categories. We introduce HebID, the first multilabel Hebrew corpus for social identity detection: 5,536 sentences from Israeli politicians' Facebook posts (Dec 2018-Apr 2021), manually…

Data Verbalisation: What is Text Doing in a Data Visualisation?
Paul Murrell
https://arxiv.org/abs/2506.15129 https://arxiv.org/pdf/2…

Data Verbalisation: What is Text Doing in a Data Visualisation?
This article discusses the role that text elements play in a data visualisation. We argue that there is a need for a simple, coherent explanation of text elements similar to the understanding that already exists for non-text elements like bars, points, and lines. We explore examples of how text is used within a data visualisation and use existing knowledge and assessment techniques to evaluate when text is effective and when it is not. The result is a framework that aims to be easy to understan…

Time For 9 o'clock #HashTagGames hosted by @… Let's play!
#SummerHeatASongOrPoem

Urban Living III - Secrecy 🙊
都市生活 III - 秘密 🙊
📷 Nikon FE
🎞️Lucky SHD 400
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Yiding Cao Geld mit PayPal.Me senden
Folgen Sie dem Link PayPal.Me/dingsterdingster und geben Sie den Betrag ein. Es ist bequem und sicher. Sie haben noch kein PayPal-Konto? Kein Problem.

game_thrones: Game of Thrones coappearances
Network of coappearances of characters in the Game of Thrones series, by George R. R. Martin, and in particular coappearances in the book "A Storm of Swords." Nodes are unique characters, and edges are weighted by the number of times the two characters' names appeared within 15 words of each other in the text.
This network has 107 nodes and 352 edges.
Tags: Social, Fictional, Weighted

Multi-use LLM Watermarking and the False Detection Problem
Zihao Fu, Chris Russell
https://arxiv.org/abs/2506.15975 https://arxiv.org…

Multi-use LLM Watermarking and the False Detection Problem
Digital watermarking is a promising solution for mitigating some of the risks arising from the misuse of automatically generated text. These approaches either embed non-specific watermarks to allow for the detection of any text generated by a particular sampler, or embed specific keys that allow the identification of the LLM user. However, simultaneously using the same embedding for both detection and user identification leads to a false detection problem, whereby, as user capacity grows, unwat…

Confidence Estimation for Text-to-SQL in Large Language Models
Sepideh Entezari Maleki, Mohammadreza Pourreza, Davood Rafiei
https://arxiv.org/abs/2508.14056 https://

Confidence Estimation for Text-to-SQL in Large Language Models
Confidence estimation for text-to-SQL aims to assess the reliability of model-generated SQL queries without having access to gold answers. We study this problem in the context of large language models (LLMs), where access to model weights and gradients is often constrained. We explore both black-box and white-box confidence estimation strategies, evaluating their effectiveness on cross-domain text-to-SQL benchmarks. Our evaluation highlights the superior performance of consistency-based methods…

Time For 9 o'clock #HashTagGames hosted by @… Let's play!
#HowToMessWithNeighbors

SAGA: Learning Signal-Aligned Distributions for Improved Text-to-Image Generation
Paul Grimal, Micha\"el Soumm, Herv\'e Le Borgne, Olivier Ferret, Akihiro Sugimoto
https://arxiv.org/abs/2508.13866

SAGA: Learning Signal-Aligned Distributions for Improved Text-to-Image Generation
State-of-the-art text-to-image models produce visually impressive results but often struggle with precise alignment to text prompts, leading to missing critical elements or unintended blending of distinct concepts. We propose a novel approach that learns a high-success-rate distribution conditioned on a target prompt, ensuring that generated images faithfully reflect the corresponding prompts. Our method explicitly models the signal component during the denoising process, offering fine-grained …

An Enhanced Model-based Approach for Short Text Clustering
Enhao Cheng, Shoujia Zhang, Jianhua Yin, Xuemeng Song, Tian Gan, Liqiang Nie
https://arxiv.org/abs/2507.13793

An Enhanced Model-based Approach for Short Text Clustering
Short text clustering has become increasingly important with the popularity of social media like Twitter, Google+, and Facebook. Existing methods can be broadly categorized into two paradigms: topic model-based approaches and deep representation learning-based approaches. This task is inherently challenging due to the sparse, large-scale, and high-dimensional characteristics of the short text data. Furthermore, the computational intensity required by representation learning significantly increa…

Attacking interpretable NLP systems
Eldor Abdukhamidov, Tamer Abuhmed, Joanna C. S. Santos, Mohammed Abuhamad
https://arxiv.org/abs/2507.16164 https://

Attacking interpretable NLP systems
Studies have shown that machine learning systems are vulnerable to adversarial examples in theory and practice. Where previous attacks have focused mainly on visual models that exploit the difference between human and machine perception, text-based models have also fallen victim to these attacks. However, these attacks often fail to maintain the semantic meaning of the text and similarity. This paper introduces AdvChar, a black-box attack on Interpretable Natural Language Processing Systems, de…

Uneven Lives 👁️
不工整人生 👁️
📷 Minolta Hi-Matic AF
🎞️ERA 100, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Time For 9 o'clock #HashTagGames hosted by @… Let's play!
#ReplyGuySaysWhat

Transplant Then Regenerate: A New Paradigm for Text Data Augmentation
Guangzhan Wang, Hongyu Zhang, Beijun Shen, Xiaodong Gu
https://arxiv.org/abs/2508.14723 https://

Transplant Then Regenerate: A New Paradigm for Text Data Augmentation
Data augmentation is a critical technique in deep learning. Traditional methods like Back-translation typically focus on lexical-level rephrasing, which primarily produces variations with the same semantics. While large language models (LLMs) have enhanced text augmentation by their "knowledge emergence" capability, controlling the style and structure of these outputs remains challenging and requires meticulous prompt engineering. In this paper, we propose LMTransplant, a novel text augmentatio…

bag_of_words: Bag of words (2008)
Five text collections in the form of bags-of-words, i.e. a bipartite document–word network. Left nodes are documents and right nodes are words. Edge weights are multiplicities. .
This network has 13919 nodes and 746316 edges.
Tags: Informational, Text, Bipartite, Weighted, Metadata
https://

Garden Aloft II ⛲️
空中花园 II ⛲️
📷 Nikon FE
🎞️Ilford FP4 Plus, expired 1994
buy me ☕️ ?/请我喝杯☕️？
#filmphotography

Time For 9 o'clock #HashTagGames hosted by @… Let's play!
#MakeABookLate

Reservoir Computing as a Language Model
Felix K\"oster, Atsushi Uchida
https://arxiv.org/abs/2507.15779 https://arxiv.org/pdf/25…

Reservoir Computing as a Language Model
Large Language Models (LLM) have dominated the science and media landscape duo to their impressive performance on processing large chunks of data and produce human-like levels of text. Nevertheless, their huge energy demand and slow processing still a bottleneck for further increasing quality while also making the models accessible to everyone. To solve this bottleneck, we will investigate how reservoir computing performs on natural text processing, which could enable fast and energy efficient …

Comparing energy consumption and accuracy in text classification inference
Johannes Zschache, Tilman Hartwig
https://arxiv.org/abs/2508.14170 https://arxiv…

Comparing energy consumption and accuracy in text classification inference
The increasing deployment of large language models (LLMs) in natural language processing (NLP) tasks raises concerns about energy efficiency and sustainability. While prior research has largely focused on energy consumption during model training, the inference phase has received comparatively less attention. This study systematically evaluates the trade-offs between model accuracy and energy consumption in text classification inference across various model architectures and hardware configurati…