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AI & Data Science Preprint PDF DOI

LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis

Lincan Li, Zheng Chen, Yushun Dong · 2026

Electroencephalogram (EEG) signals are vital for automated seizure detection, but their inherent noise makes robust representation learning challenging. Existing graph construction methods, whether co…

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Physics Preprint PDF DOI

Multi-scale calculation of light-induced structural changes in low-angle twisted bilayer WSe$_2$

Rafael R. Del Grande, David A. Strubbe · 2026

Exciton-phonon interactions in transition metal dichalcogenides (TMD) are strong and lead to phenomena such as coherent phonon generation. When stacked and twisted, their properties can be tuned by th…

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AI & Data Science Preprint PDF DOI

Mapping the Methodological Space of Classroom Interaction Research: Scale, Duration, and Modality in an Age of AI

Dorottya Demszky, Edith Bouton, Alison Twiner, Sara Hennessy, Richard Correnti · 2026

Research on classroom interaction has long been divided between large-scale observation and in-depth ethnographic work. We propose a framework mapping this methodological space along three dimensions-…

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Computer Science Preprint PDF DOI

Towards Neuro-symbolic Causal Rule Synthesis, Verification, and Evaluation Grounded in Legal and Safety Principles

Zainab Rehan, Christian Medeiros Adriano, Sona Ghahremani, Holger Giese · 2026

Rule-based systems remain central in safety-critical domains but often struggle with scalability, brittleness, and goal misspecification. These limitations can lead to reward hacking and failures in f…

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Computer Science Preprint PDF DOI

To Build or Not to Build? Factors that Lead to Non-Development or Abandonment of AI Systems

Shreya Chappidi, Jatinder Singh · 2026

Responsible AI research typically focuses on examining the use and impacts of deployed AI systems. Yet, there is currently limited visibility into the pre-deployment decisions to pursue building such …

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Mathematics Preprint PDF DOI

On three-dimensional flows of thermo-viscoelastic fluids of Giesekus type

Miroslav Bulicek, Tomas Los, Jakub Woznicki · 2026

Viscoelastic rate-type fluid models constitute a fundamental framework for the mathematical description of complex materials exhibiting coupled elastic and viscous effects, with a wide range of applic…

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AI & Data Science Preprint PDF DOI

The Effects of Visual Priming on Cooperative Behavior in Vision-Language Models

Kenneth J. K. Ong · 2026

As Vision-Language Models (VLMs) become increasingly integrated into decision-making systems, it is essential to understand how visual inputs influence their behavior. This paper investigates the effe…

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AI & Data Science Preprint PDF DOI

Geometry-Calibrated Conformal Abstention for Language Models

Rui Xu, Yi Chen, Sihong Xie, Hui Xiong · 2026

When language models lack relevant knowledge for a given query, they frequently generate plausible responses that can be hallucinations, rather than admitting being agnostic about the answer. Retraini…

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Physics Preprint PDF DOI

Low-cost passive single-shot ultrafast imaging at 685 Gfps

Dilem Eslik, Bahad{i}r Utku Kesgin, Ugur Tegin · 2026

Capturing ultrafast transient phenomena conventionally requires streak cameras or computational imaging based on compressed sensing, which lead to complex and costly systems. In this Letter, we demons…

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Computer Science Preprint PDF DOI

An Empirical Evaluation of Code Smell Detection in Angular Applications

Maykon Nunes, Emanuel Coutinho, Carla Bezerra, Ivan Machado · 2026

Angular is one of the most widely adopted frameworks for developing large-scale, dynamic web applications. As projects increase in scope and complexity, developers face growing challenges in managing …

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Physics Preprint PDF DOI

Some Properties and Uses of the Species Scale

Luis E. Ibanez · 2026

The 'Species Scale' has proved to be an important concept when studying consistent effective actions in Quantum Gravity. This is a short summary of my contribution to the Corfu Summer Institute in Sep…

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AI & Data Science Preprint PDF DOI

GourNet: A CNN-Based Model for Mango Leaf Disease Detection

Ekram Alam, Jaydip Sanyal, Akhil Kumar Das, Arijit Bhattacharya, Farhana Sultana · 2026

Mango cultivation is crucial in the agricultural sector, significantly contributing to economic development and food security. However, diseases affecting mango leaves can significantly reduce both th…

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AI & Data Science Preprint PDF DOI

Optimized Deferral for Imbalanced Settings

Corinna Cortes, Anqi Mao, Mehryar Mohri, Yutao Zhong · 2026

Learning algorithms can be significantly improved by routing complex or uncertain inputs to specialized experts, balancing accuracy with computational cost. This approach, known as learning to defer, …

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Engineering Preprint PDF DOI

Semantics-Aware Hierarchical Token Communication: Clustering, Bit Mapping, and Power Allocation

Jihoon Lee, Seungeun Oh, Jihong Park, Seong-Lyun Kim, Seung-Woo Ko · 2026

Despite the rise of token communication (TokCom) as a new paradigm beyond traditional bit communication, existing approaches have primarily adopted artificial intelligence (AI)-centric designs that re…

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AI & Data Science Preprint PDF DOI

Political Bias Audits of LLMs Capture Sycophancy to the Inferred Auditor

Petter Tornberg, Michelle Schimmel · 2026

Large language models (LLMs) are commonly evaluated for political bias based on their responses to fixed questionnaires, which typically place frontier models on the political left. A parallel literat…

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Computer Science Preprint PDF DOI

Purifying Multimodal Retrieval: Fragment-Level Evidence Selection for RAG

Xihang Wang, Zihan Wang, Chengkai Huang, Cao Liu, Ke Zeng, Quan Z. Sheng, Lina Yao · 2026

Multimodal Retrieval-Augmented Generation (MRAG) is widely adopted for Multimodal Large Language Models (MLLMs) with external evidence to reduce hallucinations. Despite its success, most existing MRAG…

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Mathematics Preprint PDF DOI

Waveform Relaxation for Field/Circuit Coupled DAEs with Generalized Capacitances

Idoia Cortes Garcia, Jonas Pade · 2026

Field/circuit coupling is a common approach when a lumped representation of a certain electrotechnical device is not accurate enough. To exploit existing code and underlying properties of the coupled …

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AI & Data Science Preprint PDF DOI

Robust Nonparametric Testing Approaches for Spatial Regression

Kanghyun Wi, Hyoeun Kim, Tomas Mrkvicka, Jorge Mateu, Jaewoo Park · 2026

Determining significant covariates is a fundamental problem in spatial regression analysis. However, parametric assumptions limit flexibility and can lead to inaccurate inference when misspecified. To…

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Biology & Life Sciences Preprint PDF DOI

Incorporating the underuse problem in the tragedy of the commons

Shota Shibasaki, Wakaba Tateishi, Shuhei Fujii, Ryosuke Nakadai · 2026

The tragedy of the commons has traditionally been framed as a problem of resource overuse driven by self-interested exploitation. In contrast, growing empirical evidence shows that insufficient use or…

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AI & Data Science Preprint PDF DOI

Stable but Wrong: An Inference Limit in Galactic Archaeology

Zhipeng Zhang · 2026

Statistical inference in observational science typically relies on a fundamental assumption: as sample size increases and uncertainties decrease, the inferred results should converge to the true physi…

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