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🔍 daniel e. steffy 📂 AI & Data Science
Showing 8116 results for "daniel e. steffy" in AI & Data Science
AI & Data Science Preprint PDF DOI

FiLMMeD: Feature-wise Linear Modulation for Cross-Problem Multi-Depot Vehicle Routing

Arthur Correa, Paulo Nascimento, Samuel Moniz · 2026

Solving practical multi-depot vehicle routing problems (MDVRP) is a challenging optimization task central to modern logistics, increasingly driven by e-commerce. To address the MDVRP's computational c…

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AI & Data Science Preprint PDF DOI

Agent-Agnostic Evaluation of SQL Accuracy in Production Text-to-SQL Systems

Taslim Jamal Arif, Kuldeep Singh · 2026

Text-to-SQL (T2SQL) evaluation in production environments poses fundamental challenges that existing benchmarks do not address. Current evaluation methodologies whether rule-based SQL matching or sche…

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AI & Data Science Preprint PDF DOI

Adjoint Inversion Reveals Holographic Superposition and Destructive Interference in CNN Classifiers

Kaixiang Shu · 2026

A foundational assumption in CNN interpretability -- that deep encoders suppress background pixels while classifiers merely select from a cleaned feature pool (the Spatial Funnel Hypothesis) -- remain…

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AI & Data Science Preprint PDF DOI

Population Dynamics in ARIEL Robotics Systems Featuring Embodied Evolution via Spatial Mating Mechanisms

Victoria Peterson, Akshat Srivastava, Raghav Prabhakar · 2026

We present a Spatially Embedded Evolutionary Algorithm where robot individuals exist in a physically simulated 2D environment, must navigate to encounter potential mates, and compete for survival unde…

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AI & Data Science Preprint PDF DOI

Bian Que: An Agentic Framework with Flexible Skill Arrangement for Online System Operations

Bochao Liu, Zhipeng Qian, Yang Zhao, Xinyuan Jiang, Zihan Liang, Yufei Ma, Junpeng Zhuang, Ben Chen, Shuo Yang, Hongen Wan, Yao Wu, Chenyi Lei, Xiao Liang · 2026

Operating and maintaining (O&M) large-scale online engine systems (search, recommendation, advertising) demands substantial human effort for release monitoring, alert response, and root cause analysis…

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AI & Data Science Preprint PDF DOI

Super-resolution Multi-signal Direction-of-Arrival Estimation by Hankel-structured Sensing and Decomposition

Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis, Elizabeth Serena Bentley · 2026

Motivated by sensing modalities in modern autonomous systems that involve hardware-constrained spatial sampling over large arrays with limited coherence time, we develop a novel framework for rapid su…

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AI & Data Science Preprint PDF DOI

Hankel and Toeplitz Rank-1 Decomposition of Arbitrary Matrices with Applications to Signal Direction-of-Arrival Estimation

Georgios I. Orfanidis, Dimitris A. Pados, George Sklivanitis, Elizabeth Serena Bentley · 2026

We consider the problems of computing the optimal rank-$1$ Hankel and Toeplitz-structured approximation of arbitrary matrices under $L_2$ and $L_1$-norm error. Such problems arise naturally in enginee…

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AI & Data Science Preprint PDF DOI

Option-Order Randomisation Reveals a Distributional Position Attractor in Prompted Sandbagging

Jon-Paul Cacioli · 2026

A predecessor pilot (Cacioli, 2026) found that Llama-3-8B implements prompted sandbagging as positional collapse rather than answer avoidance. However, fixed option ordering in MMLU-Pro left open whet…

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AI & Data Science Preprint PDF DOI

Benchmarking Logistic Regression, SVM, and LightGBM Against BiLSTM with Attention for Sentiment Analysis on Indonesian Product Reviews

Razin Hafid Hamdi, Ivana Margareth Hutabarat, Hanna Gresia Sinaga, Luluk Muthoharoh, Ardika Satria, Martin C.T. Manullang · 2026

Sentiment analysis of product reviews on e-commerce platforms plays a critical role in automatically understanding customer satisfaction and providing actionable insights for sellers seeking to improv…

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AI & Data Science Preprint PDF DOI

Do LLMs Capture Embodied Cognition and Cultural Variation? Cross-Linguistic Evidence from Demonstratives

Yu Wang, Emmanuele Chersoni, Chu-Ren Huang · 2026

Do large language models (LLMs) truly acquire embodied cognition and cultural conventions from text? We introduce demonstratives, fundamental spatial expressions like "this/that" in English and "zh\`e…

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AI & Data Science Preprint PDF DOI

Post-Hoc Inference of Cross-Classified Statistics from Hierarchical Bayes Survey Weights

Siu-Ming Tam · 2026

Tam [2026] shows that combining Bethel multivariate allocation with Hierarchical Bayes (HB) small area models can substantially reduce survey sample sizes while maintaining domain-level precision and …

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AI & Data Science Preprint PDF DOI

Below-Chance Blindness: Prompted Underperformance in Small LLMs Produces Positional Bias Rather than Answer Avoidance

Jon-Paul Cacioli · 2026

Detecting sandbagging--the deliberate underperformance on capability evaluations--is an open problem in AI safety. We tested whether symptom validity testing (SVT) logic from clinical malingering dete…

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AI & Data Science Preprint PDF DOI

Finite Mixture Modeling with Riemannian Gaussian Distributions on Hyperbolic Space

Kisung You · 2026

Hyperbolic space is increasingly used for hierarchical, tree-like, and network-structured data, but likelihood-based density modeling on hyperbolic space remains relatively limited. This paper develop…

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AI & Data Science Preprint PDF DOI

The Optimal Sample Complexity of Multiclass and List Learning

Chirag Pabbaraju · 2026

While the optimal sample complexity of binary classification in terms of the VC dimension is well-established, determining the optimal sample complexity of multiclass classification has remained open.…

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AI & Data Science Preprint PDF DOI

Sentiment and Emotion Classification of Indonesian E-Commerce Reviews via Multi-Task BiLSTM and AutoML Benchmarking

Hermawan Manurung, Ibrahim Al-Kahfi, Ahmad Rizqi, Martin Clinton Tosima Manullang · 2026

Indonesian marketplace reviews mix standard vocabulary with slang, regional loanwords, numeric shorthands, and emoji, making lexicon-based sentiment tools unreliable in practice. This paper describes …

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AI & Data Science Preprint PDF DOI

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator

Alessio Sordo, Lingxiao Du, Meeka-Hanna Lenisa, Evgeny Bogdanov, Maxim Romanovsky · 2026

The increasing reliance on Large Language Models (LLMs) across diverse sectors highlights the need for robust domain-specific and language-specific evaluation datasets; however, the collection of such…

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AI & Data Science Preprint PDF DOI

OS-SPEAR: A Toolkit for the Safety, Performance,Efficiency, and Robustness Analysis of OS Agents

Zheng Wu, Yi Hua, Zhaoyuan Huang, Chenhao Xue, Yijie Lu, Pengzhou Cheng, Zongru Wu, Lingzhong Dong, Gongshen Liu, Xinghao Jiang, Zhuosheng Zhang · 2026

The evolution of Multimodal Large Language Models (MLLMs) has shifted the focus from text generation to active behavioral execution, particularly via OS agents navigating complex GUIs. However, the tr…

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AI & Data Science Preprint PDF DOI

Psychologically-Grounded Graph Modeling for Interpretable Depression Detection

Rishitej Reddy Vyalla, Kritarth Prasad, Avinash Anand, Erik Cambria, Shaoxiong Ji, Faten S. Alamri, Zhengkui Wang · 2026

Automatic depression detection from conversational interactions holds significant promise for scalable screening but remains hindered by severe data scarcity and a lack of clinical interpretability. E…

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AI & Data Science Preprint PDF DOI

minAction.net: Energy-First Neural Architecture Design -- From Biological Principles to Systematic Validation

Martin G. Frasch · 2026

Modern machine learning optimizes for accuracy without explicit treatment of internal computational cost, even though physical and biological systems operate under intrinsic energy constraints. We eva…

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AI & Data Science Preprint PDF DOI

A Limit Theory of Foundation Models: A Mathematical Approach to Understanding Emergent Intelligence and Scaling Laws

Jun Shu, Junxiong Jia, Deyu Meng, Zongben Xu · 2026

Emergent intelligence have played a major role in the modern AI development. While existing studies primarily rely on empirical observations to characterize this phenomenon, a rigorous theoretical fra…

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