Tootfinder

Every single talk that I saw from @… is just fantastic and highly recommended. 🤩
https://rosa.codes/machines2025/

The Teacher's Dilemma: Balancing Trade-Offs in Programming Education for Emergent Bilingual Students
Emma R. Dodoo, Tamara Nelson-Fromm, Mark Guzdial
https://arxiv.org/abs/2506.14147

The Teacher's Dilemma: Balancing Trade-Offs in Programming Education for Emergent Bilingual Students
K-12 computing teachers must navigate complex trade-offs when selecting programming languages and instructional materials for classrooms with emergent bilingual students. While they aim to foster an inclusive learning environment by addressing language barriers that impact student engagement, they must also align with K-12 computer science curricular guidelines and prepare students for industry-standard programming tools. Because programming languages predominantly use English keywords and most…

Fundamental Parameters for Central Stars of 103 Infrared Bowshock Nebulae
Nikhil Patten, Henry A. Kobulnicky, Matthew S. Povich, Angelica S. Whisnant, Sydney Andrews, Alexandra Boone, Srujan Dandu, Naomi Jones, S. Nick Justice, Dylan Hope, Alexander Larsen, Ryan McCrory, Julia Meredith, Maria Renee Meza, Alexandra C. Rosenthal, William Salazar, Alexander R. Sterling, Noshin Yesmin, Daniel A. Dale

Fundamental Parameters for Central Stars of 103 Infrared Bowshock Nebulae
Stellar bowshock nebulae are arcuate shock fronts formed by the interaction of radiation-driven stellar winds and the relative motion of the ambient interstellar material. Stellar bowshock nebulae provide a promising means to measure wind-driven mass loss, independent of other established methods. In this work, we characterize the stellar sources at the center of bowshock nebulae drawn from all-sky catalogs of 24 $μ$m-selected nebulae. We obtain new, low-resolution blue optical spectra for \nu…

Explainable AI Systems Must Be Contestable: Here's How to Make It Happen
Catarina Moreira, Anna Palatkina, Dacia Braca, Dylan M. Walsh, Peter J. Leihn, Fang Chen, Nina C. Hubig
https://arxiv.org/abs/2506.01662

Explainable AI Systems Must Be Contestable: Here's How to Make It Happen
As AI regulations around the world intensify their focus on system safety, contestability has become a mandatory, yet ill-defined, safeguard. In XAI, "contestability" remains an empty promise: no formal definition exists, no algorithm guarantees it, and practitioners lack concrete guidance to satisfy regulatory requirements. Grounded in a systematic literature review, this paper presents the first rigorous formal definition of contestability in explainable AI, directly aligned with stakeholder …

This https://arxiv.org/abs/2502.11647 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCR_…

DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing
Large Language Models (LLMs) are widely applied in decision making, but their deployment is threatened by jailbreak attacks, where adversarial users manipulate model behavior to bypass safety measures. Existing defense mechanisms, such as safety fine-tuning and model editing, either require extensive parameter modifications or lack precision, leading to performance degradation on general tasks, which is unsuitable to post-deployment safety alignment. To address these challenges, we propose DELM…