Tootfinder

G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
Samuel Holt, Max Ruiz Luyten, Antonin Berthon, Mihaela van der Schaar
https://arxiv.org/abs/2506.09272

G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
Constructing robust simulators is essential for asking "what if?" questions and guiding policy in critical domains like healthcare and logistics. However, existing methods often struggle, either failing to generalize beyond historical data or, when using Large Language Models (LLMs), suffering from inaccuracies and poor empirical alignment. We introduce G-Sim, a hybrid framework that automates simulator construction by synergizing LLM-driven structural design with rigorous empirical calibration…

Optimization of target film materials and protective coatings for sealed neutron generator
Yingying Cao, Sijia Zhou, Pingwei Sun, Jiayu Li, Shangrui Jiang, Shiwei Jing
https://arxiv.org/abs/2506.09060

Optimization of target film materials and protective coatings for sealed neutron generator
Magnesium target film has better thermal stability and neutron yield than titanium target, making it a potential neutron generator target film material. The radiation resistance of elemental magnesium targets is relatively weak, and their radiation resistance can be improved by alloying magnesium target films. The irradiation damage of pure magnesium targets and magnesium alloy target films was studied using SRIM. The results indicate that the irradiation damage of magnesium alloy target films …

Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components
Jumana Alsubhi, Mohammad D. Alahmadi, Ahmed Alhusayni, Ibrahim Aldailami, Israa Hamdine, Ahmad Shabana, Yazeed Iskandar, Suhayb Khayyat
https://arxiv.org/abs/2506.06339

Optimizing RAG Pipelines for Arabic: A Systematic Analysis of Core Components
Retrieval-Augmented Generation (RAG) has emerged as a powerful architecture for combining the precision of retrieval systems with the fluency of large language models. While several studies have investigated RAG pipelines for high-resource languages, the optimization of RAG components for Arabic remains underexplored. This study presents a comprehensive empirical evaluation of state-of-the-art RAG components-including chunking strategies, embedding models, rerankers, and language models-across …

Been playing Pistol Whip again. Such a great game. The Black Magic "hard" level, with Reckless and Hell options is ridiculously hard. Finishing at all is a feat.
Was wondering how the hell the top players managed to score so highly. I was in like 4th place thinking I was playing a practically perfect game.
But it turns out only with 188 hits. The top three, I noticed, has 189 hits! There's a secret dude!?
Found him, flying around in the sky mid level on the right.
Nice. That's me 3rd in the global leaderboard for Black Magic Hard Reckless Hell now then.
Maybe I shouldn't be giving the game away. If someone learns of the secret dude from this post and then beats me into 4th place I'll be miffed.
#vr #games #pistolWhip

A good news story about the great gender preference divide.
After years of declining sex ratios that saw increases in female infanticide and missing girls, it seems there's a change.
'Globally, among babies born in 2000, a staggering 1.6m girls were missing from the number you would expect, given the natural sex ratio at birth. This year that number is likely to be 200,000—and it is still falling.'
Beautiful hope.

The stunning decline of the preference for having boys
Millions of girls were aborted for being girls. Now parents often lean towards them

Does someone know how to change the port for an SSH based cache?
The `user@host:port` pattern doesn't work on my machine.
https://discourse.nixos.org/t/how-to-change-port-for-ssh-based-cache/63908

This https://arxiv.org/abs/2505.19953 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Interpretable Augmented Physics-Based Model for Estimation and Tracking
State-space estimation and tracking rely on accurate dynamical models to perform well. However, obtaining an vaccurate dynamical model for complex scenarios or adapting to changes in the system poses challenges to the estimation process. Recently, augmented physics-based models (APBMs) appear as an appealing strategy to cope with these challenges where the composition of a small and adaptive neural network with known physics-based models (PBM) is learned on the fly following an augmented state-…

Optimized and regularly repeated lattice-based Latin hypercube designs for large-scale computer experiments
Xu He, Junpeng Gong, Zhaohui Li
https://arxiv.org/abs/2506.04582

Optimized and regularly repeated lattice-based Latin hypercube designs for large-scale computer experiments
Computer simulations serve as powerful tools for scientists and engineers to gain insights into complex systems. Less costly than physical experiments, computer experiments sometimes involve large number of trials. Conventional design optimization and model fitting methods for computer experiments are inefficient for large-scale problems. In this paper, we propose new methods to optimize good lattice point sets, using less computation to construct designs with enhanced space-filling properties …

Rule-Assisted Attribute Embedding
Sibo Zhao, Michael Bewong, Selasi Kwashie, Junwei Hu, Zaiwen Feng
https://arxiv.org/abs/2506.08314 https://

Rule-Assisted Attribute Embedding
Recommendation systems often overlook the rich attribute information embedded in property graphs, limiting their effectiveness. Existing graph convolutional network (GCN) models either ignore attributes or rely on simplistic triples, failing to capture deeper semantic structures. We propose RAE (Rule- Assisted Approach for Attribute Embedding), a novel method that improves recommendations by mining semantic rules from property graphs to guide attribute embedding. RAE per…

Hey Fediverse.
If you were filling in a profile on a website and there was a dropdown list for gender,
1) is there any argument for having a 4th option beside female / male / non-binary?
2) is there a better word or short phrase for non-binary that would annoy fewer people? Is "other" better, or offensive to anyone?