Tootfinder

Happy #PrideMonth! 🏳️‍⚧️🏳️‍🌈
I’m just too fabulously queer and genderfluid to function like anyone expects. My identity is a whole spectrum, shifting and sparkling with every color and every gender. 🌈✨
Some days I’m femme, some days I’m masc, and some days I’m something totally unique and undefined. 💖💙🤍
My

User Altruism in Recommendation Systems
Ekaterina Fedorova, Madeline Kitch, Chara Podimata
https://arxiv.org/abs/2506.04525 https://a…

User Altruism in Recommendation Systems
Users of social media platforms based on recommendation systems (RecSys) (e.g. TikTok, X, YouTube) strategically interact with platform content to influence future recommendations. On some such platforms, users have been documented to form large-scale grassroots movements encouraging others to purposefully interact with algorithmically suppressed content in order to "boost" its recommendation; we term this behavior user altruism. To capture this behavior, we study a game between users and a Rec…

Googles kleines Sprachlabor: Fremdsprachen lernen mit Little Language Lessons
KI trifft Sprachtraining: Wir haben die „Little Language Lessons“ von Google getestet – taugt das Tool für schnelles, effektives Lernen einer Fremdsprache?

This https://arxiv.org/abs/2505.19193 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Interpretable Graph Learning Over Sets of Temporally-Sparse Data
Real-world medical data often includes measurements from multiple signals that are collected at irregular and asynchronous time intervals. For example, different types of blood tests can be measured at different times and frequencies, resulting in fragmented and unevenly scattered temporal data. Similar issues of irregular sampling of different attributes occur in other domains, such as monitoring of large systems using event log files or the spread of fake news on social networks. Effectively …

This https://arxiv.org/abs/2412.17831 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

High-resolution urban air pollution and thermal comfort mapping: an application of drive mobile sensing platform for smart city services
Air pollutant exposure exhibits significant spatial and temporal variability, with localized hotspots, particularly in traffic microenvironments, posing health risks to commuters. Although widely used for air quality assessment, fixed-site monitoring stations are limited by sparse distribution, high costs, and maintenance needs, making them less effective in capturing on-road pollution levels. This study utilizes a fleet of 314 taxis equipped with sensors to measure NO\textsubscript{2}, PM\text…

From afar, I'm loving the currently viral tiktok/insta livecoding genre started by Char Stiles, Jade Rowland and DJ Dave - tersely explaining all the functions of a set of strudel patterns, quickly building up a banging euphoric track while trying to suppress emotions enough to speak
I would love to see a version of this but the outcome is totally chaotic noise music that makes no sense where the person just has to shout over it to try to be heard while adding layer on layer of pat…

New on homepage: Textual Criticism and the Edition of Late Antique Biblical Commentaries and Other Exegetical Texts https://www.vonstockhausen.org/talks/regensburg_snts Upcoming talk on 05/08/2025 at “SNTS: New Testament Textual Criticism Seminar”

When Experimental Economics Meets Large Language Models: Tactics with Evidence
Shu Wang, Zijun Yao, Shuhuai Zhang, Jianuo Gai, Tracy Xiao Liu, Songfa Zhong
https://arxiv.org/abs/2505.21371

When Experimental Economics Meets Large Language Models: Tactics with Evidence
Advancements in large language models (LLMs) have sparked a growing interest in measuring and understanding their behavior through experimental economics. However, there is still a lack of established guidelines for designing economic experiments for LLMs. By combining principles from experimental economics with insights from LLM research in artificial intelligence, we outline and discuss eight practical tactics for conducting experiments with LLMs. We further perform two sets of experiments to…