Tootfinder

Sorcha - a Solar System Survey Simulator for the Legacy Survey of Space and Time: #Rubin Observatory will discover millions of solar system objects: https://www.geekwire.com/2025/sorcha-software-rubin-observatory-millions/

drosophila_flybi: Fruit fly protein interactions (Drosophila melanogaster)
Binary protein-protein interactions (PPIs) for Drosophila melanogaster, containing 8723 PPIs among 2939 proteins. The iteractions were identified using a yeast two-hybrid (Y2H) analysis.
This network has 2939 nodes and 8723 edges.
Tags: Biological, Protein interactions, Unweighted

This https://arxiv.org/abs/2505.19028 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCV_…

InfoChartQA: A Benchmark for Multimodal Question Answering on Infographic Charts
Understanding infographic charts with design-driven visual elements (e.g., pictograms, icons) requires both visual recognition and reasoning, posing challenges for multimodal large language models (MLLMs). However, existing visual-question answering benchmarks fall short in evaluating these capabilities of MLLMs due to the lack of paired plain charts and visual-element-based questions. To bridge this gap, we introduce InfoChartQA, a benchmark for evaluating MLLMs on infographic chart understand…

Federal #safety regulators looking into whether #MelonHusk's killer robo cars belong on city streets, and writer #Bloomberg's Dana Hull filed a public-records request to see footage and learn more about one of the horrific f…

Singapore's Temasek cuts back on startup investments after the fund wrote down hundreds of millions of dollars on a spate of collapsed startups, including FTX (Financial Times)
https://www.ft.com/content/54594076-eea5-4c0d-946c-e05ba7038d3e

Singapore’s Temasek cuts back on start-up investments
State-owned $300bn fund says it is adopting a ‘more cautious approach’ on early-stage companies

This https://arxiv.org/abs/2503.21224 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

Efficient Learning for Entropy-Regularized Markov Decision Processes via Multilevel Monte Carlo
Designing efficient learning algorithms with complexity guarantees for Markov decision processes (MDPs) with large or continuous state and action spaces remains a fundamental challenge. We address this challenge for entropy-regularized MDPs with Polish state and action spaces, assuming access to a generative model of the environment. We propose a novel family of multilevel Monte Carlo (MLMC) algorithms that integrate fixed-point iteration with MLMC techniques and a generic stochastic approximat…

This https://arxiv.org/abs/2503.19990 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

LEGO-Puzzles: How Good Are MLLMs at Multi-Step Spatial Reasoning?
Multi-step spatial reasoning entails understanding and reasoning about spatial relationships across multiple sequential steps, which is crucial for tackling complex real-world applications, such as robotic manipulation, autonomous navigation, and automated assembly. To assess how well current Multimodal Large Language Models (MLLMs) have acquired this fundamental capability, we introduce LEGO-Puzzles, a scalable benchmark designed to evaluate both spatial understanding and sequential reasoning …

I posted a long email to 9fans, the Plan 9 mailing list.
Not sure if they will love or hate me. I guess both, so I might be doing it right lol...
This one may as well go out to other communities.
I may transform it into a blog post for reference.

This https://arxiv.org/abs/2506.00618 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

RiOSWorld: Benchmarking the Risk of Multimodal Compter-Use Agents
With the rapid development of multimodal large language models (MLLMs), they are increasingly deployed as autonomous computer-use agents capable of accomplishing complex computer tasks. However, a pressing issue arises: Can the safety risk principles designed and aligned for general MLLMs in dialogue scenarios be effectively transferred to real-world computer-use scenarios? Existing research on evaluating the safety risks of MLLM-based computer-use agents suffers from several limitations: it ei…

Filing: OpenAI seeks to block a May 13 court order requiring it to preserve all ChatGPT logs, including deleted chats, arguing it poses a risk to users' privacy (Ashley Belanger/Ars Technica)
https://arstechnica.com/tech-policy/20

OpenAI slams court order to save all ChatGPT logs, including deleted chats
OpenAI defends privacy of hundreds of millions of ChatGPT users.