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🥍 Are high school sports living up to their ideals?
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Are high school sports living up to their ideals?
High school sports associations want to mold better students and citizens through sport, but are coaches well equipped to deliver on that front?

Toward a Better Localization of Princeton WordNet
Abed Alhakim Freihat
https://arxiv.org/abs/2508.18134 https://arxiv.org/pdf/2508.18134

Toward a Better Localization of Princeton WordNet
As Princeton WordNet continues to gain significance as a semantic lexicon in Natural Language Processing, the need for its localization and for ensuring the quality of this process has become increasingly critical. Existing efforts remain limited in both scale and rigor, and there is a notable absence of studies addressing the accuracy of localization or its alignment with the cultural context of Arabic. This paper proposes a structured framework for the localization of Princeton WordNet, detai…

Rough days. I believe it will get better, as there is so much talent in the squad. But it’s increasingly difficult to see the vision and that there is any tangible momentum to get there. Change can be chaotic, but the many self-inflicted injuries don’t help. Some roster decisions, e.g. Salah, Kerkez, etc. don’t seem supportable.
The failure to land Guehi mixed with the injury to Leoni have kept an out of form Konate in the lineup. Gomez? Endo?

"Coch and Daniel do not call for more neuroscience in classrooms, but for better scientific literacy among teachers, school leaders, and teacher educators. They demonstrate that anyone seeking to apply brain research to enhance teaching must first comprehend what that research can – and cannot – reveal."

Improving in-context learning with a better scoring function
Omar Naim, Swarnadeep Bhar, J\'er\^ome Bolte, Nicholas Asher
https://arxiv.org/abs/2508.14685 https://

Improving in-context learning with a better scoring function
Large language models (LLMs) exhibit a remarkable capacity to learn by analogy, known as in-context learning (ICL). However, recent studies have revealed limitations in this ability. In this paper, we examine these limitations on tasks involving first-order quantifiers such as {\em all} and {\em some}, as well as on ICL with linear functions. We identify Softmax, the scoring function in attention mechanism, as a contributing factor to these constraints. To address this, we propose \textbf{scale…

Series B, Episode 03 - Weapon
GAN: Yes.
AVON: [Smiles] Virtually alone, then.
CALLY: And for that attack we shall need all the weapons we can get.
BLAKE: [Enters] And where better to get them than the Weapons Development Base?
https://blake.torpidity.net/m/203/39 B7B6

Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets
Ji Xia, Yizi Zhang, Shuqi Wang, Genevera I. Allen, Liam Paninski, Cole Lincoln Hurwitz, Kenneth D. Miller
https://arxiv.org/abs/2510.11924

Inpainting the Neural Picture: Inferring Unrecorded Brain Area Dynamics from Multi-Animal Datasets
Characterizing interactions between brain areas is a fundamental goal of systems neuroscience. While such analyses are possible when areas are recorded simultaneously, it is rare to observe all combinations of areas of interest within a single animal or recording session. How can we leverage multi-animal datasets to better understand multi-area interactions? Building on recent progress in large-scale, multi-animal models, we introduce NeuroPaint, a masked autoencoding approach for inferring the…

Pathways to Quantum: Fostering High School Student Interest in Quantum Information Science
Jennifer Simons, Nancy Holincheck, Jessica Rosenberg, Laura Akesson
https://arxiv.org/abs/2508.03838

Pathways to Quantum: Fostering High School Student Interest in Quantum Information Science
This study examines the Pathways to Quantum Immersion Program at George Mason University, which introduces high school students to quantum concepts and careers. Fifteen group interviews with a total of 45 students were analyzed to examine how the program supported student awareness, knowledge, and perceptions of quantum careers. Participants gained a better understanding of various quantum and quantum-adjacent careers, as well as the paths they might follow to pursue these careers. Interactions…

Power loss mechanisms and optimal induction factors for realistic large wind farms
Takafumi Nishino, Amanda S. M. Smyth
https://arxiv.org/abs/2508.02727 https://

Power loss mechanisms and optimal induction factors for realistic large wind farms
Power loss mechanisms in large wind farms are complex due to the multiscale nature of wind farm aerodynamics. Recent studies based on the two-scale momentum theory have brought new insights into this field; however, most of them have been limited to idealised wind farm scenarios. To better understand the power performance of real wind farms, in this study we extend the framework of the two-scale momentum theory to non-ideal turbine design and layout scenarios, and then introduce simple analytic…

Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models
Ej Zhou, Caiqi Zhang, Tiancheng Hu, Chengzu Li, Nigel Collier, Ivan Vuli\'c, Anna Korhonen
https://arxiv.org/abs/2510.03136

Beyond the Final Layer: Intermediate Representations for Better Multilingual Calibration in Large Language Models
Confidence calibration, the alignment of a model's predicted confidence with its actual accuracy, is crucial for the reliable deployment of Large Language Models (LLMs). However, this critical property remains largely under-explored in multilingual contexts. In this work, we conduct the first large-scale, systematic studies of multilingual calibration across six model families and over 100 languages, revealing that non-English languages suffer from systematically worse calibration. To diagnose …