Tootfinder

Noise or Nuance: An Investigation Into Useful Information and Filtering For LLM Driven AKBC
Alex Clay, Ernesto Jim\'enez-Ruiz, Pranava Madhyastha
https://arxiv.org/abs/2509.08903

Noise or Nuance: An Investigation Into Useful Information and Filtering For LLM Driven AKBC
RAG and fine-tuning are prevalent strategies for improving the quality of LLM outputs. However, in constrained situations, such as that of the 2025 LM-KBC challenge, such techniques are restricted. In this work we investigate three facets of the triple completion task: generation, quality assurance, and LLM response parsing. Our work finds that in this constrained setting: additional information improves generation quality, LLMs can be effective at filtering poor quality triples, and the tradeo…

Poland to send military representatives to Ukraine for training on shooting down Russian drones: https://benborges.xyz/2025/09/12/poland-to-send-military-representatives.html

Information Transport in Classic-Quantum Hybrid System
Julian Rapp, Radhika H. Joshi, Alwin van Steensel, Yuli V. Nazarov, Mohammad H. Ansari
https://arxiv.org/abs/2508.07870 ht…

Information Transport in Classic-Quantum Hybrid System
Many important quantities in quantum information science, such as entropy and entanglement, are non-linear functions of the density matrix and cannot be expressed as operator observables. Standard open-system approaches evolve only a single copy of the density matrix, making it impossible to track the dynamics of such quantities. A formalism proposed by some of the present authors addressed this challenge by evolving multiple virtual replicas, but was limited to the weak-coupling regime. Here, …

Russland: Ukrainische Drohnen auf Ausbildungszentrum im Kernkraftwerk Saporischschja
Ukrainische Drohnen haben nach russischer Darstellung ein Ausbildungszentrum im Kernkraftwerk Saporischschja angegriffen. Das teilte die Verwaltung des von Russland kontrollierten Kraftwerks in der Ukraine mit. Es gab demnach keine Opfer, und Informationen über mögliche Schäden würden derzeit geprüft.
Unabhängig zu verifizieren war der Beric…
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Ukraine-Liveblog: ++ Rheinmetall plant Rüstungsfabrik in der Ukraine ++
Der deutsche Rüstungskonzern Rheinmetall will künftig Artilleriegeschosse direkt in der Ukraine produzieren. Morgen tagt der UN-Sicherheitsrat zur Verletzung des polnischen Luftraums durch mutmaßlich russische Drohnen.

Cosmology inference with perturbative forward modeling at the field level: a comparison with joint power spectrum and bispectrum analyses
Kazuyuki Akitsu, Marko Simonovi\'c, Shi-Fan Chen, Giovanni Cabass, Matias Zaldarriaga
https://arxiv.org/abs/2509.09673

Cosmology inference with perturbative forward modeling at the field level: a comparison with joint power spectrum and bispectrum analyses
We extend field-level inference to jointly constrain the cosmological parameters $\{A,ω_{\rm cdm},H_0\}$, in both real and redshift space. Our analyses are based on mock data generated using a perturbative forward model, with noise drawn from a Gaussian distribution with a constant power spectrum. This idealized setting, where the field-level likelihood is exactly Gaussian, allows us to precisely quantify the information content in the nonlinear field on large scales. We find that field-level …

Parallelized computation of quasi-periodic solutions for finite element problems: A Fourier series expansion-based shooting method
Junqing Wu, Ling Hong, Mingwu Li, Jun Jiang
https://arxiv.org/abs/2508.06302

Parallelized computation of quasi-periodic solutions for finite element problems: A Fourier series expansion-based shooting method
High-dimensional nonlinear mechanical systems admit quasi-periodic solutions that are essential for the understanding of the dynamical systems. These quasi-periodic solutions stay on some invariant tori governed by complex PDEs in hyper-time. Here, we propose a Fourier series expansion-based shooting method (FSE-Shooting) for the parallelized computation of quasi-periodic solution with $d$ base frequencies ($d \ge 2$). We represent the associated $d$-torus as a collection of trajectories initia…

Two Stage Context Learning with Large Language Models for Multimodal Stance Detection on Climate Change
Lata Pangtey, Omkar Kabde, Shahid Shafi Dar, Nagendra Kumar
https://arxiv.org/abs/2509.08024

Two Stage Context Learning with Large Language Models for Multimodal Stance Detection on Climate Change
With the rapid proliferation of information across digital platforms, stance detection has emerged as a pivotal challenge in social media analysis. While most of the existing approaches focus solely on textual data, real-world social media content increasingly combines text with visual elements creating a need for advanced multimodal methods. To address this gap, we propose a multimodal stance detection framework that integrates textual and visual information through a hierarchical fusion appro…

guerrilla bus benches are the Best of the Bay!
https://48hills.org/2025/09/best-of-the-bay-2025-editors-pick-san-francisco-bay-area-bench-collective/

Best of the Bay 2025 Editors’ Pick: San Francisco Bay Area Bench Collective - 48 hills
Group's guerrilla seating makes solid statement about accessibility and humane public infrastructure.

High-dimensional Longitudinal Inference via a De-sparsified Dantzig-Selector
Nathan Huey, Rajarshi Mukherjee
https://arxiv.org/abs/2508.07498 https://arxiv…

High-dimensional Longitudinal Inference via a De-sparsified Dantzig-Selector
In this paper, we consider statistical inference with generalized linear models in high dimensions under a longitudinal clustered data framework. Specifically, we propose a de-sparsified version of an initial Dantzig-type regularized estimator in regression settings and provide theoretical justification for both linear and generalized linear models. We present extensive numerical simulations demonstrating the effectiveness of our method for continuous and binary data. For continuous outcomes un…

Not enough people use cakes to celebrate important life events
#ShamelesslyStolenFromSomewhereElseOnTheInternetHonestlyICantKeepTrackOfThisStuffAnymore