output
20152026
most citedImproved Training of Wasserstein GANs

1.5k citations

253 papers

cs.LG2026

Drowning in Routine: Signal Dilution in Multi-Turn Agent Training

Yann Pernot, Vi Retault

Multi-turn agents interleave consequential decisions with routine execution: some actions change the downstream return distribution, while others are necessary but reward-equivalen…

cs.MA2026

The Cookbook: Design Space of LLM-based Social Simulations

Aurélien Bück-Kaeffer, Sneheel Sarangi, Maximilian Puelma Touzel +3

Studies attempting to simulate human behavior with grow in numbers while LLM-only social networks have started appearing outside of controlled settings…

cs.IR2026

A Reproducibility Study of LLM-Based Query Reformulation

Amin Bigdeli, Radin Hamidi Rad, Hai Son Le +4

Large Language Models (LLMs) are now widely used for query reformulation and expansion in Information Retrieval, with many studies reporting substantial effectiveness gains. Howeve…

cs.CV2026★ 9 cited

Neural Network Optimization Reimagined: Decoupled Techniques for Scratch and Fine-Tuning

Xin Ning, Qiankun Li, Xiaolong Huang +5

With the accumulation of resources in the era of big data and the rise of pre-trained models in deep learning, optimizing neural networks for various tasks often involves different…

astro-ph.CO2026

LSST Strong Lensing Systems Dark Matter Sensitivity Analysis with Neural Ratio Estimators

Andreas Filipp, Yashar Hezaveh, Laurence Perreault-Levasseur +2

Strong gravitational lensing offers a unique probe of dark matter (DM) on sub-galactic scales, where the abundance and distribution of low-mass halos are highly sensitive to the un…

q-bio.NC2026★ 1 cited

Ca2+ transient detection and segmentation with the Astronomically motivated algorithm for Background Estimation And Transient Segmentation (Astro-BEATS)

Bolin Fan, Anthony Bilodeau, Frederic Beaupre +4

Fluorescence-based Ca-imaging is a powerful tool for studying localized neuronal activity, including miniature Synaptic Calcium Transients, providing real-time insights into…