output
19992026
most citedfastai: A Layered API for Deep Learning

1k citations

160 papers

cs.CL2026

Eureka: Intelligent Feature Engineering for Enterprise AI Cloud Resource Demand Prediction

Hangxuan Li, Renjun Jia, Xuezhang Wu +3

Effective features are crucial for predictive model performance, but creating them often requires domain expertise, limiting scalability across applications. We define feature engi…

astro-ph.IM2026

The Outer Space Treaty Won't Save Us From Ourselves

John Barentine, Aparna Venkatesan

The rapid growth of human activities in outer space sounds urgent alarms around ethical and philosophical issues, particularly concerning space militarization. The present internat…

cs.HC2026★ 1 cited

Challenges in Synchronous & Remote Collaboration Around Visualization

Matthew Brehmer, Maxime Cordeil, Christophe Hurter +26

We characterize 16 challenges faced by those investigating and developing remote and synchronous collaborative experiences around visualization. Our work reflects the perspectives…

astro-ph.GA2025

The DESI Single Fiber Lens Search. I. Four Thousand Spectroscopically Selected Galaxy-Galaxy Gravitational Lens Candidates

Juliana S. M. Karp, David J. Schlegel, Xiaosheng Huang +47

We present 4,110 strong gravitational lens candidates, 3,887 of which are new discoveries, selected from a sample of 5,837,154 luminous red galaxies (LRGs) observed with the Dark E…

astro-ph.GA2025

A New Way to Discover Strong Gravitational Lenses: Pair-wise Spectroscopic Search from DESI DR1

Yuan-Ming Hsu, Xiaosheng Huang, Christopher J. Storfer +47

We present a new method to search for strong gravitational lensing systems by pairing spectra that are close together on the sky in a spectroscopic survey. We visually inspect 26,6…

cs.CL2025★ 1 cited

The Token Tax: Systematic Bias in Multilingual Tokenization

Jessica M. Lundin, Ada Zhang, Nihal Karim +4

Tokenization inefficiency imposes structural disadvantages on morphologically complex, low-resource languages, inflating compute resources and depressing accuracy. We evaluate 10 l…