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.
438 papers reviewed by authors · 121–130 / 438
This paper investigates the dynamical critical behavior of black hole phase transitions in anti-de Sitter spacetime by extending the stochastic free energy landscape framework to Kerr-AdS black holes, demonstrating pronounced critical slowing down and a universal dynamic scaling relation () across diverse black hole systems including RN-AdS and Bardeen black holes.
This paper reports the first observation on the EXL-50U spherical torus that small-scale magnetic reconnection, mediated by multiple magnetic islands, can stably re-accelerate neutral beam-injected energetic ions to energies up to 2.5 times their injection level without degrading core confinement, offering a novel mechanism for auxiliary heating in future fusion reactors.
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.
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.
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.
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.
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.
This paper proposes a fairness-aware retrieval framework for Retrieval-Augmented Generation (RAG) that mitigates bias propagation in top-k settings through a scalable optimization approach called FARO, effectively balancing relevance and fairness without compromising generation quality.
This paper proposes a "quota-governor" scheme for Gaussian Splatting that dynamically adjusts densification and pruning hyperparameters to follow a quadratic target point trajectory, thereby ensuring fair, capacity-matched comparisons across methods by eliminating the biases caused by hard-stopping or uneven budgeting.
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.