✓ Reviewed

Author-Reviewed Papers

Papers where the original authors have engaged with our plain-language explanation.

For every paper on this page, at least one of the original authors has seen our plain-language explanation and engaged with it — either confirming it reads accurately or requesting corrections that we then applied. An endorsement does not mean the authors formally approve every sentence, but it does mean the explanation has passed the eyes of the people who wrote the paper.

1362 papers reviewed by authors · 1041–1050 / 1362

🧬 biology

Few-Shot Large Language Models for Actionable Triage Categorization of Online Patient Inquiries

This study demonstrates that few-shot prompted large language models, particularly Claude Haiku 4.5, can outperform supervised baselines like BioBERT in routing online patient inquiries to appropriate clinical follow-up levels under low-resource conditions, though their performance variability suggests they are best suited for supporting selective human review rather than autonomous deployment.

Liqi Zhou, Jiafu Li2026-05-18✓ Author reviewed ⓘ
🔭 astrophysics

Measuring contributions from single and multiple atmospheric secondary cosmic rays in the {\it Princess Sirindhorn Neutron Monitor} using cross-counter neutron time delay distributions

This paper presents measurements from the Princess Sirindhorn Neutron Monitor using new electronics to analyze cross-counter time delay distributions, revealing that approximately 4.5% of detected counts arise from multiple secondary particles within the same cosmic-ray shower rather than single particles, a finding that validates Monte Carlo simulations and refines the understanding of neutron monitor spectral variations.

Warit Mitthumsiri (Department of Physics, Faculty of Science, Mahidol University, Bangkok, Thailand), Alejandro Sáiz (De (…)2026-05-18✓ Author reviewed ⓘ
🔬 physics

Bridging the climate to energy data gap: simulated annealing for representative climate year selection

This study proposes and validates a simulated annealing optimization method, utilizing the seasonal sliced Wasserstein distance, to select highly representative subsets of climate years from large ensembles, significantly outperforming current practices and alternative algorithms to provide robust, unbiased inputs for energy system modeling.

Bram van Duinen, Karin van der Wiel, Jean Thorey, Laurens Stoop2026-05-18✓ Author reviewed ⓘ
⚛️ quantum physics

Quantum Feature Amplification Network (QFAN) as An Autoregressive Quantum Generative Model

The paper introduces the Quantum Feature Amplification Network (QFAN), an autoregressive quantum generative model that overcomes the register-size bottleneck in calorimeter shower simulation by generating images as sequences of blocks using a fixed-size quantum circuit, successfully demonstrating its ability to reproduce key physical distributions on both simulators and IBM quantum hardware.

Jamal Slim, Saverio Monaco, Florian Rehm, Dirk Kruecker, Kerstin Borras2026-05-18✓ Author reviewed ⓘ
📊 statistics

Painless Activation Steering: An Automated, Lightweight Approach for Post-Training Large Language Models

This paper introduces Painless Activation Steering (PAS), a fully automated and lightweight method that constructs activation vectors from labeled datasets without human intervention to effectively steer large language models toward desired behaviors, outperforming existing techniques in controllability and efficiency while demonstrating specific efficacy for behavior-oriented tasks.

Sasha Cui, Zhongren Chen2026-05-18✓ Author reviewed ⓘ
📄 public and global health

Insurance coverage and treatment gaps among adults with hypertension or diabetes in Kenya: a sex-stratified analysis of the 2022 Demographic and Health Survey

A sex-stratified analysis of the 2022 Kenya Demographic and Health Survey reveals that despite nearly half of diagnosed adults with hypertension or diabetes having health insurance, substantial treatment gaps persist across all wealth and sex groups, suggesting that expanding insurance enrollment alone is insufficient to improve chronic care access without addressing deeper systemic barriers like medicine availability and affordability.

Amollo, N. W., Ouma, J. O., Hyera, H.2026-05-18✓ Author reviewed ⓘ
⚡ electrical engineering

ForcingDAS: Unified and Robust Data Assimilation via Diffusion Forcing

ForcingDAS is a unified and robust data assimilation framework built on Diffusion Forcing that learns a joint-trajectory prior to overcome the error accumulation of traditional filtering methods and the regime specialization of existing learned models, enabling a single trained model to seamlessly perform nowcasting, smoothing, and reanalysis across diverse weather and climate benchmarks.

Yixuan Jia, Siyi Chen, Yida Pan, Xiao Li, Lianghe Shi, Chanyong Jung, Haijie Yuan, Ismail Alkhouri, Yue Cynthia Wu, Saip (…)2026-05-15✓ Author reviewed ⓘ