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Engineering Preprint PDF DOI

Sequential Inference for Gaussian Processes: A Signal Processing Perspective

Daniel Waxman, Fernando Llorente, Petar M. Djuric · 2026

The proliferation of capable and efficient machine learning (ML) models marks one of the strongest methodological shifts in signal processing (SP) in its nearly 100-year history. ML models support the…

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Computer Science Preprint PDF DOI

Beyond Code, We Are People: A Systematic Mapping of 25 Years of Literature on Soft Skills in Agile Development Teams

Israely Lima, Lucas Moura Lourenco, Marcio Ribeiro, Ivan Machado, Carla Ilane Bezerra · 2026

Software development is a sociotechnical and human-centered endeavor in which human factors directly influence quality, productivity, and innovation capacity. In this context, career development in co…

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Physics Preprint PDF DOI

Observation of the Magnus Nonlinear Hall effect from Chiral Weyl Monopoles

Heda Zhang, Nikolai Peshcherenko, Ning Mao, Nianlong Zou, Jiaqiang Yan, Claudia Felser, Yang Zhang · 2026

The nonlinear Hall effect (NLHE) connects crystalline symmetry to quantum geometry, offering a probe of band topology beyond linear transport. While most studies have focused on the Berry curvature di…

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Physics Preprint PDF DOI

Deep Strong light-matter Coupling in 3D Kane Fermions

Dmitriy Yavorskiy, David Hagenmuller, Noureddine Charrouj, Yurii Ivonyak, Alexander Kazakov, Yanko Todorov, Wojciech Knap, Marcin Bialek · 2026

Deep strong light-matter coupling represents an extreme non-perturbative regime of quantum electrodynamics, in which the interaction strength exceeds the bare frequencies of the uncoupled systems. The…

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Mathematics Preprint PDF DOI

Colored Markov polycategories and diagrammatic differentiation

Theodore Papamarkou · 2026

Many stochastic systems are built by wiring typed components together, but the wiring is often neither purely sequential nor type-homogeneous. This paper develops categorical semantics for such system…

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AI & Data Science Preprint PDF DOI

Building Persona-Based Agents On Demand: Tailoring Multi-Agent Workflows to User Needs

Giuseppe Arbore, Andrea Sillano, Luigi De Russis · 2026

Recent advances in agentic AI are shifting automation from discrete tools to proactive multi-agent systems that coordinate multi-specialized capabilities behind unified interfaces. However, today's ag…

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Computer Science Preprint PDF DOI

SimEval-IR: A Unified Toolkit and Benchmark Suite for Evaluating User Simulators and Search Sessions

Saber Zerhoudi · 2026

User simulators are increasingly central to interactive information retrieval, yet the community lacks standardized evaluation tools. Simulators serve two objectives, behavioral realism (matching real…

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Computer Science Preprint PDF DOI

Temporal and Content Coupling Analysis of Social Media User Behavior

Jipeng Tan, Mengye Yang, Zhanghao Li, Yong Min · 2026

News consumption behavior is shaped by the coupling between temporal dynamics and content selection. This study proposes a multi-scale temporal-content framework and validates it on two large real-wor…

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AI & Data Science Preprint PDF DOI

CoAX: Cognitive-Oriented Attribution eXplanation User Model of Human Understanding of AI Explanations

Louth Bin Rawshan, Zhuoyu Wang, Brian Y. Lim · 2026

Explainable AI (XAI) aims to improve user understanding and decisions when using AI models. However, despite innovations in XAI, recent user evaluations reveal that this goal remains elusive. Understa…

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AI & Data Science Preprint PDF DOI

LLMs Capture Emotion Labels, Not Emotion Uncertainty: Distributional Analysis and Calibration of Human--LLM Judgment Gaps

Keito Inoshita, Xiaokang Zhou, Akira Kawai, Katsutoshi Yada · 2026

Human annotators frequently disagree on emotion labels, yet most evaluations of Large Language Model (LLM) emotion annotation collapse these judgments into a single gold standard, discarding the distr…

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Physics Preprint PDF DOI

Planar master integrals for two-loop NLO electroweak light-fermion contributions to $g g \rightarrow Z H$

Shu-Xiang Li, Ren-You Zhang, Xiao-Feng Wang, Pan-Feng Li, Xiang-Jie Wei, Yi Wang, Yi Jiang, Qing-hai Wang · 2026

For the two-loop next-to-leading-order electroweak (NLO EW) corrections to $gg \rightarrow ZH$, the light-fermion contributions can be classified into eight distinct topologies. Using the canonical di…

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AI & Data Science Preprint PDF DOI

Machine Collective Intelligence for Explainable Scientific Discovery

Gyoung S. Na, Chanyoung Park · 2026

Deriving governing equations from empirical observations is a longstanding challenge in science. Although artificial intelligence (AI) has demonstrated substantial capabilities in function approximati…

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Computer Science Preprint PDF DOI

Fisher Markets with Approximately Optimal Bundles and the Need for a PCP Theorem for PPAD

Argyrios Deligkas, John Fearnley, Alexandros Hollender, Themistoklis Melissourgos · 2026

We study the problem of computing a competitive equilibrium with approximately optimal bundles in Fisher markets with separable piecewise-linear concave (SPLC) utility functions, meaning that every bu…

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Computer Science Preprint PDF DOI

Unified Data Discovery across Query Modalities and User Intents

Tingting Wang, Shixun Huang, Zhifeng Bao, J. Shane Culpepper, Shazia Sadiq, Volkan Dedeoglu, Reza Arablouei · 2026

Data discovery - retrieving relevant tables from a data lake in response to user queries - is a fundamental building block for downstream analytics. In practice, data discovery must support different …

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Computer Science Preprint PDF DOI

Now's the Time: Computer Science Must Evolve to Emphasize Software and Systems Engineering with Artificial Intelligence (AI)

Chandra N. Sekharan, George K. Thiruvathukal · 2026

Computer science (CS) education needs to evolve to support software and artificial intelligence (AI) systems engineering, and it needs to happen now -- precisely because the core intellectual contribu…

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Mathematics Preprint PDF DOI

An Analysis of the Diaconis-Holmes-Neal Markov Chain Sampler Under Generalized Unimodal Underlying Probabilities

Martin V. Hildebrand, Christopher J. Lange · 2026

Upon the introduction of the Metropolis algorithm, the question of how many steps in the Markov chain were needed to achieve convergence to stationarity became apparent. The convergence was rather slo…

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AI & Data Science Preprint PDF DOI

Useless but Safe? Benchmarking Utility Recovery with User Intent Clarification in Multi-Turn Conversations

Mingqian Zheng, Malia Morgan, Liwei Jiang, Carolyn Rose, Maarten Sap · 2026

Current LLM safety alignment techniques improve model robustness against adversarial attacks, but overlook whether and how LLMs can recover helpfulness when benign users clarify their intent. We intro…

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Economics & Finance Preprint PDF DOI

The Signal Credibility Index for Prediction Markets: A Microstructure-Grounded Diagnostic with Weighted and Time-Varying Extensions

Maksym Nechepurenko · 2026

Prediction-market price moves are widely treated as informationally equivalent: a price jump is read the same way regardless of whether it reflects durable Bayesian updating, transient liquidity press…

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AI & Data Science Preprint PDF DOI

Improving Bias Correction Methods for Daily Rainfall Using a Markov Chain Approach

Danny Parsons, David Stern, Mouhamadou Bamba Sylla, James Musyoka, John Bagiliko, Lily Clements, John Mupuro, Denis Ndanguza · 2026

Accurate, localised rainfall information is essential for applications such as agricultural planning, climate risk assessment, and water resources management. Gridded climate products provide rainfall…

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AI & Data Science Preprint PDF DOI

Edge AI for Automotive Vulnerable Road User Safety: Deployable Detection via Knowledge Distillation

Akshay Karjol, Darrin M. Hanna · 2026

Deploying accurate object detection for Vulnerable Road User (VRU) safety on edge hardware requires balancing model capacity against computational constraints. Large models achieve high accuracy but f…

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