Tootfinder

Five crucial Earth systems near a tipping point: Report https://news.mongabay.com/short-article/2025/10/five-crucial-earth-systems-near-a-tipping-point-report/

Five crucial Earth systems near a tipping point: Report
Five of Earth’s vital systems are close to a point of irreversible change, warns a new report released by a global network of scientists ahead of the upcoming U.N. climate change conference in Brazil. The 2025 Global Tipping Points report updates a 2023 report to assess 25 Earth systems that human societies and economies depend […]

Designing an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts
Johannes Schleiss, Anke Manukjan, Michelle Ines Bieber, Sebastian Lang, Sebastian Stober
https://arxiv.org/abs/2508.14921

Designing an Interdisciplinary Artificial Intelligence Curriculum for Engineering: Evaluation and Insights from Experts
As Artificial Intelligence (AI) increasingly impacts professional practice, there is a growing need to AI-related competencies into higher education curricula. However, research on the implementation of AI education within study programs remains limited and requires new forms of collaboration across disciplines. This study addresses this gap and explores perspectives on interdisciplinary curriculum development through the lens of different stakeholders. In particular, we examine the case of cur…

A look at The Midcoast Villager, a weekly local paper created from the consolidation of four local newspapers in Camden, Maine, with a circulation of ~5,000 (New York Times)
https://www.nytimes.com/2025/10/20/style/midcoast-villager-newspaper-maine.html…

Running a Local Paper? In This Economy?
They were journalists at major news outlets in New York and D.C. before taking big pay cuts to run the Midcoast Villager, a paper covering a rocky, coastal part of Maine.

Crosslisted article(s) found for econ.EM. https://arxiv.org/list/econ.EM/new
[1/1]:
- Large-dimensional Factor Analysis with Weighted PCA
Zhongyuan Lyu, Ming Yuan

Pixels Under Pressure: Exploring Fine-Tuning Paradigms for Foundation Models in High-Resolution Medical Imaging
Zahra TehraniNasab, Amar Kumar, Tal Arbel
https://arxiv.org/abs/2508.14931

Pixels Under Pressure: Exploring Fine-Tuning Paradigms for Foundation Models in High-Resolution Medical Imaging
Advancements in diffusion-based foundation models have improved text-to-image generation, yet most efforts have been limited to low-resolution settings. As high-resolution image synthesis becomes increasingly essential for various applications, particularly in medical imaging domains, fine-tuning emerges as a crucial mechanism for adapting these powerful pre-trained models to task-specific requirements and data distributions. In this work, we present a systematic study, examining the impact of …

Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech data
Youngwon Choi, Jaeyoon Jung, Hyeonyu Kim, Huu-Kim Nguyen, Hwayeon Kim
https://arxiv.org/abs/2509.15389

Exploring Fine-Tuning of Large Audio Language Models for Spoken Language Understanding under Limited Speech data
Large Audio Language Models (LALMs) have emerged as powerful tools for speech-related tasks but remain underexplored for fine-tuning, especially with limited speech data. To bridge this gap, we systematically examine how different fine-tuning schemes including text-only, direct mixing, and curriculum learning affect spoken language understanding (SLU), focusing on scenarios where text-label pairs are abundant while paired speech-label data are limited. Results show that LALMs already achieve co…

Crosslisted article(s) found for econ.TH. https://arxiv.org/list/econ.TH/new
[1/1]:
- Regularity properties of distributions of correspondences without countable generation: applicati...
Motoki Otsuka

Crosslisted article(s) found for econ.EM. https://arxiv.org/list/econ.EM/new
[1/1]:
- Exact P-values for Network Interference
Susan Athey, Dean Eckles, Guido Imbens

Evaluating undergraduate mathematics examinations in the era of generative AI: a curriculum-level case study
Benjamin J. Walker, Beatriz Navarro Lameda, Ruth A. Reynolds
https://arxiv.org/abs/2509.13359

Evaluating undergraduate mathematics examinations in the era of generative AI: a curriculum-level case study
Generative artificial intelligence (GenAI) tools such as OpenAI's ChatGPT are transforming the educational landscape, prompting reconsideration of traditional assessment practices. In parallel, universities are exploring alternatives to in-person, closed-book examinations, raising concerns about academic integrity and pedagogical alignment in uninvigilated settings. This study investigates whether traditional closed-book mathematics examinations retain their pedagogical relevance when hypotheti…

Crosslisted article(s) found for econ.TH. https://arxiv.org/list/econ.TH/new
[1/1]:
- Explainable Information Design
Yiling Chen, Tao Lin, Wei Tang, Jamie Tucker-Foltz