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.
1351 papers reviewed by authors · 711–720 / 1351
This paper extends a fundamental identity for vacillating tableaux to arbitrary differential posets using their structural properties and derives new bijective proofs for Young's lattice and its Cartesian powers through a simple deletion-insertion process.
This paper presents a component ablation study of an Agentic RAG system using a local 7B model on HotpotQA, revealing that fixed hybrid retrieval and limited retrieval iterations outperform complex adaptive routing and deeper loops, demonstrating that simpler, non-adaptive designs are more effective for multi-hop QA under resource constraints.
This paper establishes a theoretical link between coherent information and neural network loss to develop a transformer-based decoder that accurately predicts quantum error correction thresholds and significantly outperforms traditional minimum weight perfect matching decoders, while also proving the optimality of a novel soft post-selection scheme.
This study presents a comprehensive benchmark of eight machine learning and deep learning models for predicting wound-rotor synchronous motor performance, demonstrating that neural-network-based architectures, particularly the FT-Transformer, significantly outperform tree-based models in accuracy and computational speed while offering a robust multi-seed reproducibility protocol and Pareto analysis of cost-accuracy trade-offs.
By combining new JWST observations with archival data to detect high abundances of refractory SiO in WASP-121 b's atmosphere, this study reveals that the ultra-hot Jupiter's composition resulted from accretion from multiple reservoirs and its current high-obliquity orbit can be explained by post-formation dynamical events.
This paper analyzes three decades of multiwavelength variability in the BL Lac object PKS 0735+178, associated with a high-energy neutrino event, revealing correlated emission with frequency-dependent delays and a ~12-day optical-gamma lag that support a jet propagation model driven by shocks and base energy variations rather than jet precession.
This paper introduces a Bayesian neural network implementation within the aenet-PyTorch framework and systematically compares its uncertainty quantification capabilities against deep ensembles on TiO structures to guide the development of reliable machine learning interatomic potentials.
This paper challenges the assumption that low mutual information between inputs and representations implies geometric compression, revealing instead a complex, nonlinear relationship where generalization acts as a confounding factor rather than a direct consequence.
The paper introduces BabelJudge, an open-source benchmark and reliability audit framework that evaluates LLM-as-a-Judge models across multiple languages and agent trajectories by generating gold-standard labels through controlled perturbations to expose hidden failure modes like position and verbosity biases that raw accuracy metrics fail to capture.
This paper investigates the similarities and differences between LLM-generated and human-written stories by applying narratological definitions to analyze eight intricate dimensions of character portrayal, aiming to determine if AI models produce characters with comparable variety and depth to human authors.