✓ 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.

1359 papers reviewed by authors · 961–970 / 1359

⚡ electrical engineering

Do Synthetic Brain MRIs Reliably Improve Tumour Classification? A StyleGAN2-ADA Class-Plane Augmentation Study on BRISC 2025

This study demonstrates that while StyleGAN2-ADA-generated synthetic brain MRIs do not universally improve tumor classification across all model architectures, they provide a statistically significant accuracy boost for MobileViTV2 when using feature-space filtering at a 1:1 real-to-synthetic ratio, highlighting that augmentation utility depends on the specific classifier and data configuration rather than visual fidelity alone.

José Rafael Noriega Cedeño2026-05-25✓ Author reviewed ⓘ
🔬 materials science

Excitonic optical interface for GHz-THz collective excitations in a van der Waals magnet

This study demonstrates that excitonic resonances in the van der Waals antiferromagnet CrSBr serve as a unified broadband optical interface for GHz magnon and THz phonon collective excitations by transiently activating a nominally dark exciton through boson-driven modulation of the dielectric response.

Sophie Bork, Richard Leven, Vincent Wirsdörfer, Alessandro Ferretti, Rafael R. Rojas-Lopez, Mattia Benini, David Maximil (…)2026-05-25✓ Author reviewed ⓘ
🔭 astrophysics

Superrotation and Jet Migration in Simulations of Jupiter's Convective Zone and Weather Layer

By implementing 3D anelastic convection simulations of Jupiter that isolate or couple the deep convective zone with a shallow weather layer, the study reveals that Busse columns drive equatorial superrotation while potential vorticity homogenization generates high-latitude jets that slowly migrate poleward, with the weather layer significantly altering thermal wind balance and jet alignment.

Loren Matilsky, Geoffrey Vallis, Matthew Browning, Nicholas Brummell2026-05-25✓ Author reviewed ⓘ
⚛️ high-energy theory

Note on higher spins and holographic symmetry algebra

This paper extends the holographic symmetry algebra for gravitons and gluons by demonstrating that conformally soft higher spin particles generate a w∞w_{\infty} subalgebra (and an SS-algebra for colored particles) that does not commute with the standard w1+∞w_{1+\infty} subalgebra, a result verified via tree-level MHV amplitudes and extended to non-zero cosmological constants.

Shamik Banerjee, Suman Guchait, Raju Mandal, Sudhakar Panda2026-05-25✓ Author reviewed ⓘ
💬 NLP

From Correctness to Preference: A Framework for Personalized Agentic Reinforcement Learning

This paper proposes a unified framework for personalized Agentic Reinforcement Learning that integrates Personalized Anchor Reward-Decoupled Policy Optimization (PARPO), a preference-disentangled reward model, and Preference-Aligned Skill Evolution Graph Memory (PSGM) to effectively address heterogeneous user preferences and improve agent performance across diverse planning and tool-use scenarios.

Ranxu zhang, zeyang li, Jiacheng Huang, Rui Zhang, Xiaozhou Xu, sun zhe, Yanyong Zhang, Chao Wang2026-05-25✓ Author reviewed ⓘ
🤖 machine learning

An Open-Source Training Dataset for Foundation Models for Black-box Optimization

This paper introduces BBO-Pile, the first large-scale open-source dataset containing over 500,000 optimization trajectories across 3,095 black-box functions, and demonstrates that foundation models trained on this data can effectively learn and imitate black-box optimization strategies through scalable pre-training.

Aaron Klein, Herilalaina Rakotoarison, Luca Thale-Bombien, David Salinas2026-05-25✓ Author reviewed ⓘ
💬 NLP

Fine-Tuning Causal LLMs for Text Classification: Embedding-Based vs. Instruction-Based Approaches

This paper demonstrates that for resource-constrained single-label text classification, fine-tuning causal LLMs with a classification head on final-token embeddings is significantly more parameter-efficient than instruction tuning while achieving comparable or superior performance to both instruction-tuned LLMs and domain-specific BERT models.

Amirhossein Yousefiramandi, Ciaran Cooney2026-05-25✓ Author reviewed ⓘ
💻 computer science

Swarical: An Integrated Hierarchical Approach to Localizing Flying Light Specks

Swarical is a swarm-based hierarchical localization technique that enables miniature Flying Light Specks to accurately and efficiently localize themselves and illuminate complex shapes by leveraging hardware-specific sensor data and heterogeneous orientations, achieving state-of-the-art accuracy with more than twice the speed of existing decentralized methods.

Hamed Alimohammadzadeh, Shahram Ghandeharizadeh2026-05-25✓ Author reviewed ⓘ