Tootfinder

"Is #OpenAccess for Everyone?" https://katinamagazine.org/content/article/open-knowledge/2025/is-open-access-for-everyone

Improving the State of the Art for Training Human-AI Teams: Technical Report #5 -- Individual Differences and Team Qualities to Measure in a Human-AI Teaming Testbed
Lillian Asiala, James E. McCarthy
https://arxiv.org/abs/2507.18878

Improving the State of the Art for Training Human-AI Teams: Technical Report #5 -- Individual Differences and Team Qualities to Measure in a Human-AI Teaming Testbed
Sonalysts, Inc. (Sonalysts) is working on an initiative to expand our expertise in teaming to include Human-Artificial Intelligence (AI) teams. The first step of this process is to develop a Synthetic Task Environment (STE) to support our original research. Prior knowledge elicitation efforts within the Human-AI teaming research stakeholder community revealed a desire to support data collection using pre- and post-performance surveys. In this technical report, we review a number of constructs t…

SAM2-Aug: Prior knowledge-based Augmentation for Target Volume Auto-Segmentation in Adaptive Radiation Therapy Using Segment Anything Model 2
Guoping Xu, Yan Dai, Hengrui Zhao, Ying Zhang, Jie Deng, Weiguo Lu, You Zhang
https://arxiv.org/abs/2507.19282

SAM2-Aug: Prior knowledge-based Augmentation for Target Volume Auto-Segmentation in Adaptive Radiation Therapy Using Segment Anything Model 2
Purpose: Accurate tumor segmentation is vital for adaptive radiation therapy (ART) but remains time-consuming and user-dependent. Segment Anything Model 2 (SAM2) shows promise for prompt-based segmentation but struggles with tumor accuracy. We propose prior knowledge-based augmentation strategies to enhance SAM2 for ART. Methods: Two strategies were introduced to improve SAM2: (1) using prior MR images and annotations as contextual inputs, and (2) improving prompt robustness via random boundi…

RiverEcho: Real-Time Interactive Digital System for Ancient Yellow River Culture
Haofeng Wang, Yilin Guo, Zehao Li, Tong Yue, Yizong Wang, Enci Zhang, Rongqun Lin, Feng Gao, Shiqi Wang, Siwei Ma
https://arxiv.org/abs/2506.21865

RiverEcho: Real-Time Interactive Digital System for Ancient Yellow River Culture
The Yellow River is China's mother river and a cradle of human civilization. The ancient Yellow River culture is, moreover, an indispensable part of human art history. To conserve and inherit the ancient Yellow River culture, we designed RiverEcho, a real-time interactive system that responds to voice queries using a large language model and a cultural knowledge dataset, delivering explanations through a talking-head digital human. Specifically, we built a knowledge database focused on the anci…

NASA Exoplanet Exploration Program (ExEP) Science Gap List
Karl Stapelfeldt, Eric Mamajek
https://arxiv.org/abs/2507.18665 https://arxiv.org/pdf/2507.18665…

NASA Exoplanet Exploration Program (ExEP) Science Gap List
The Exoplanet Exploration Program (ExEP) is chartered by the NASA Astrophysics Division to carry out science, research, and technology tasks that advance NASA's science goals for exoplanets. The ExEP Science Gap List is a compilation of "science gaps", defined as either: 1) The difference between knowledge needed to define requirements for specified future NASA exoplanet missions and the current state of the art, or 2) Knowledge which is needed to enhance the exoplanet science return of current…

The latest large opensource AI model from China.
Kimi-K2
#AI #china #KimiK2

TaxCalcBench: Evaluating Frontier Models on the Tax Calculation Task
Michael R. Bock, Kara Molisee, Zachary Ozer, Sumit Shah
https://arxiv.org/abs/2507.16126

TaxCalcBench: Evaluating Frontier Models on the Tax Calculation Task
Can AI file your taxes? Not yet. Calculating US personal income taxes is a task that requires building an understanding of vast amounts of English text and using that knowledge to carefully compute results. We propose TaxCalcBench, a benchmark for determining models' abilities to calculate personal income tax returns given all of the necessary information. Our experiment shows that state-of-the-art models succeed in calculating less than a third of federal income tax returns even on this simpli…

💡 Wie werden die Querverbindungen zwischen kulturellen Ressourcen in @… hergestellt?
🚀 Bei der #DH2025 in Lissabon zeigen unsere 4Culture-Kolleginnen @… und Linnaea Sö…

"How Should Diamond Open Access Work for Books?" @ Katina Magazine: https://katinamagazine.org/content/article/open-knowledge/2025/how-should-diamond-oa-work-for-books

Private Continual Counting of Unbounded Streams
Ben Jacobsen, Kassem Fawaz
https://arxiv.org/abs/2506.15018 https://arxiv.org/pdf/250…

Private Continual Counting of Unbounded Streams
We study the problem of differentially private continual counting in the unbounded setting where the input size $n$ is not known in advance. Current state-of-the-art algorithms based on optimal instantiations of the matrix mechanism cannot be directly applied here because their privacy guarantees only hold when key parameters are tuned to $n$. Using the common `doubling trick' avoids knowledge of $n$ but leads to suboptimal and non-smooth error. We solve this problem by introducing novel matrix…

Research Knowledge Graphs: the Shifting Paradigm of Scholarly Information Representation
Matth\"aus Zloch, Danilo Dess\`i, Jennifer D'Souza, Leyla Jael Castro, Benjamin Zapilko, Saurav Karmakar, Brigitte Mathiak, Markus Stocker, Wolfgang Otto, S\"oren Auer, Stefan Dietze
https://arxiv.org/abs/2506.07285

Research Knowledge Graphs: the Shifting Paradigm of Scholarly Information Representation
Sharing and reusing research artifacts, such as datasets, publications, or methods is a fundamental part of scientific activity, where heterogeneity of resources and metadata and the common practice of capturing information in unstructured publications pose crucial challenges. Reproducibility of research and finding state-of-the-art methods or data have become increasingly challenging. In this context, the concept of Research Knowledge Graphs (RKGs) has emerged, aiming at providing an easy to u…

Do-PFN: In-Context Learning for Causal Effect Estimation
Jake Robertson, Arik Reuter, Siyuan Guo, Noah Hollmann, Frank Hutter, Bernhard Sch\"olkopf
https://arxiv.org/abs/2506.06039

Do-PFN: In-Context Learning for Causal Effect Estimation
Estimation of causal effects is critical to a range of scientific disciplines. Existing methods for this task either require interventional data, knowledge about the ground truth causal graph, or rely on assumptions such as unconfoundedness, restricting their applicability in real-world settings. In the domain of tabular machine learning, Prior-data fitted networks (PFNs) have achieved state-of-the-art predictive performance, having been pre-trained on synthetic data to solve tabular prediction…

Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning
Ali Baheri
https://arxiv.org/abs/2506.14058 https://

Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning
Offline reinforcement learning promises policy improvement from logged interaction data alone, yet state-of-the-art algorithms remain vulnerable to value over-estimation and to violations of domain knowledge such as monotonicity or smoothness. We introduce implicit constraint-aware off-policy correction, a framework that embeds structural priors directly inside every Bellman update. The key idea is to compose the optimal Bellman operator with a proximal projection on a convex constraint set, wh…

GloBIAS: strengthening the foundations of BioImage Analysis
A. A. Corbat (BioImage Informatics Unit, Science for Life Laboratory and Department of Information Technology, Uppsala University, Sweden), C. G. Walther (German BioImaging, Gesellschaft f\"ur Mikroskopie und Bildanalyse e.V., Konstanz, Germany, University of Vienna, Vienna, Austria), L. R. de la Ballina (Centre for Cancer Cell Reprogramming, Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Montebe…

GloBIAS: strengthening the foundations of BioImage Analysis
There is a global need for BioImage Analysis (BIA) as advances in life sciences increasingly rely on cutting-edge imaging systems that have dramatically expanded the complexity and dimensionality of biological images. Turning these data into scientific discoveries requires people with effective data management skills and knowledge of state-of-the-art image processing and data analysis, in other words, BioImage Analysts. The Global BioImage Analysts' Society (GloBIAS) aims to enhance the profile…

An Ecosystem for Ontology Interoperability
Zhangcheng Qiang
https://arxiv.org/abs/2507.12311 https://arxiv.org/pdf/2507.12311

An Ecosystem for Ontology Interoperability
Ontology interoperability is one of the complicated issues that restricts the use of ontologies in knowledge graphs (KGs). Different ontologies with conflicting and overlapping concepts make it difficult to design, develop, and deploy an interoperable ontology for downstream tasks. We propose an ecosystem for ontology interoperability. The ecosystem employs three state-of-the-art semantic techniques in different phases of the ontology engineering life cycle: ontology design patterns (ODPs) in t…

Modern approach to muonic x-ray spectroscopy demonstrated through the measurement of stable Cl radii
K. A. Beyer, T. E. Cocolios, C. Costache, M. Deseyn, P. Demol, A. Doinaki, O. Eizenberg, M. Gorshteyn, M. Heines, A. Herz\'a\v{n}, P. Indelicato, K. Kirch, A. Knecht, R. Lica, V. Matousek, E. A. Maugeri, B. Ohayon, N. S. Oreshkina, W. W. M. M. Phyo, R. Pohl, S. Rathi, W. Ryssens, A. Turturica, K. von Schoeler, I. A. Valuev, S. M. Vogiatzi, F. Wauters, A. Zendour

Modern approach to muonic x-ray spectroscopy demonstrated through the measurement of stable Cl radii
Recent advances in muonic x-ray experiments have reinvigorated efforts in measurements of absolute nuclear charge radii. Here, a modern approach is presented, and demonstrated through determination of the charge radii of the two stable chlorine nuclides $^{35}$Cl and $^{37}$Cl. Knowledge of these radii has implications for fundamental studies in nuclear and atomic physics. For this purpose, a state-of-the-art experiment was performed at the $π$E1 beamline in the Paul Scherrer Institute (Switze…