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.
1365 papers reviewed by authors · 1161–1170 / 1365
This paper demonstrates that training-free large language models, particularly DeepSeek-R1-32B using few-shot prompting, can effectively classify conventional commits from code diffs, offering a practical alternative to traditional supervised machine learning approaches.
This paper proposes Structured Spec-Driven Engineering (SSDE), a paradigm that utilizes structured specifications to overcome the ambiguity and quality limitations of natural language prompts, thereby enabling high-quality, verifiable code generation at the repository level.
This thesis proposes a neuro-symbolic framework that integrates a statutory ontology, rule extraction, and solver-based reasoning to ensure automated eligibility decisions for CalFresh align with legal rules, thereby enabling traceable and contestable procedural accountability.
This paper analyzes the cyclic relaxed Douglas-Rachford algorithm for inconsistent nonconvex feasibility problems by characterizing its fixed points, relating their shadows to those of the cyclic projections algorithm, and establishing conditions for local quantitative convergence.
Using fluorescence-detected wavepacket interferometry on single light-harvesting complexes, researchers revealed that time-varying fluctuations in the protein environment modulate exciton relaxation pathways by altering the coupling between electronic excitations and low-frequency vibrational modes.
This paper presents an -Coefficient/Index Annihilation Theorem that derives the th population moment of a function defined on a finite abelian group solely from its Fourier transform by showing that the moment expands into a series where the indices of the contributing coefficients sum to zero under group addition.
This paper demonstrates that a simple vanilla U-Net outperforms complex attention-based models in InSAR phase unwrapping by avoiding unphysical high-frequency artifacts, thereby offering superior accuracy, speed, and adherence to geophysical constraints for operational monitoring systems.
This paper proposes that non-thermal production mechanisms, specifically involving late-decaying reheatons in low-reheating-temperature scenarios, can naturally overcome the abundance deficit of thermal sexaquark dark matter models by linking the final relic density to the branching fraction into strange-quark-rich matter and the coalescence probability during the early universe.
This paper proposes a novel facet pivot simplex method for linear programming that demonstrates superior promise over the traditional vertex pivot approach in numerical tests, offering new hope for discovering a polynomial-time pivot algorithm.
EntroLLM is a post-training compression framework that combines mixed quantization with entropy coding to significantly reduce storage requirements and accelerate inference for large language models on edge devices without retraining.