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🔍 wayne eberly 📂 Computer Science
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Computer Science Preprint PDF DOI

Addressing the Reality Gap: A Three-Tension Framework for Agentic AI Adoption

Jason Fournier (Imagine Learning), Kacper {L}odzikowski (Adam Mickiewicz University, Poznan, Poland) · 2026

Generative AI has rapidly entered education through free consumer tools, outpacing the ability of schools and universities to respond. Now a new wave of more autonomous agentic AI systems--with the ca…

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Computer Science Preprint PDF DOI

Designing sparse temporal graphs satisfying connectivity requirements

Thomas Bellitto, Jules Bouton Popper, Justine Cauvi, Bruno Escoffier, Raphaelle Maistre-Matus · 2026

Connectivity of temporal graphs has been widely studied both as graph theory and as gossip theory. In particular, it is well known that in order to connect every vertex to every other, a temporal grap…

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Computer Science Preprint PDF DOI

Truthful-in-Expectation Mechanisms for MMS Approximation

Moshe Babaioff, Uriel Feige, Noam Manaker Morag · 2026

We study fair allocation of indivisible goods among strategic agents with additive valuations. Motivated by impossibility results for deterministic truthful mechanisms, we focus on randomized mechanis…

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Computer Science Preprint PDF DOI

Theory Under Construction: Orchestrating Language Models for Research Software Where the Specification Evolves

Halley Young, Nikolaj Bjorner · 2026

Large language models can now generate substantial code and draft research text, but research-software projects require more than either artifact alone. The mathematical thesis, executable system, ben…

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Computer Science Preprint PDF DOI

What Suppresses Nash Equilibrium Play in Large Language Models? Mechanistic Evidence and Causal Control

Paraskevas V. Lekeas, Giorgos Stamatopoulos · 2026

LLM agents are known to deviate from Nash equilibria in strategic interactions, but nobody has looked inside the model to understand why, or asked whether the deviation can be reversed. We do both. …

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Computer Science Preprint PDF DOI

Artistic Practice Opportunities in CST Evaluations: A Longitudinal Group Deployment of ArtKrit

Catherine Liu, Tao Long, Asya Vaisberg, Chau Vu, Jiaju Ma, Jingyi Li · 2026

Creativity support tools (CSTs) aim to elevate the quality of artists' creative processes and artifacts. Yet most current CST evaluations overlook temporal and social aspects of tool use. To address t…

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Computer Science Preprint PDF DOI

ClassEval-Pro: A Cross-Domain Benchmark for Class-Level Code Generation

Yeheng Chen, Chaoxiang Xie, Yuling Shi, Wenhao Zeng, Yongpan Wang, Hongyu Zhang, Xiaodong Gu · 2026

LLMs have achieved strong results on both function-level code synthesis and repository-level code modification, yet a capability that falls between these two extremes -- compositional code creation, i…

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Computer Science Preprint PDF DOI

Solving Positive Linear Programs with Differential Privacy

Alina Ene, Huy Le Nguyen, Ta Duy Nguyen, Adrian Vladu · 2026

We study differentially private approximation algorithms for positive linear programs (LPs with nonnegative coefficients and variables), focusing on the fundamental families of packing, covering, and …

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Computer Science Preprint PDF DOI

Full Definability in a Profunctorial Model

Takeshi Tsukada, Kazuyuki Asada, Kengo Hirata · 2026

A semantic model enjoys full definability if every semantic element in the model is a denotation of some proof or program. Full definability indicates that the model captures programs and proofs in a …

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Computer Science Preprint PDF DOI

A Test Taxonomy and Continuous Integration Ecosystem for Dynamic Resource Management in HPC

Petter Sand{aa}s, Inigo Arejula-Aisa, Sergio Iserte, Antonio J. Pena · 2026

High-performance computing (HPC) systems are increasingly exploring dynamic resource management and malleable MPI applications to better adapt to heterogeneous architectures, fluctuating workloads, an…

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Computer Science Preprint PDF DOI

Exploring the Efficiency of 3D-Stacked AI Chip Architecture for LLM Inference with Voxel

Yiqi Liu, Noelle Crawford, Michael Wang, Jilong Xue, Jian Huang · 2026

To overcome the well-known memory bottleneck of AI chips, 3D stacked architectures that employ advanced packaging technology with high-density through-silicon vias (TSVs) pins have proven to be a prom…

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Computer Science Preprint PDF DOI

What Is the Cost of Energy Monitoring? An Empirical Study on the Overhead of RAPL-Based Tools

Jeremy Diamond, Vincenzo Stoico · 2026

The Running Average Power Limit (RAPL) interface is widely used to estimate software energy consumption via CPU and DRAM counters, but tool design differences and high-frequency polling can introduce …

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Computer Science Preprint PDF DOI

LLM-Guided Runtime Parameter Optimization for Energy-Efficient Model Inference

Katelyn Crumpacker, Dimitrios Nikolopoulos · 2026

Large Language Models (LLMs) have become an integral part of many real-world workflows. However, LLMs consume a lot of energy, which becomes a large concern in the scale of the demand for these tools.…

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Computer Science Preprint PDF DOI

A Sufficient-Statistic Reduction of the Information Bottleneck to a Low-Dimensional Problem

Joss Armstrong · 2026

We show that if the conditional distribution p(C | T) factors through a sufficient statistic {\phi}(T), then the Information Bottleneck (IB) problem for (T, C) is exactly equivalent to the IB problem …

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Computer Science Preprint PDF DOI

Finite-Horizon First-Order Rank Profiles of Regular Languages

Madina Bazarova, Faruk Alpay · 2026

We introduce the finite-horizon first-order rank profile of a language $L \subseteq \Sigma^*$: the least quantifier rank needed by an $\mathrm{FO}[<]$ sentence to classify membership in $L$ correctly …

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Computer Science Preprint PDF DOI

DMRlib: Easy-coding and Efficient Resource Management for Job Malleability

Sergio Iserte, Rafael Mayo, Enrique S. Quintana-Orti, Antonio J. Pena · 2026

Process malleability has proved to have a highly positive impact on the resource utilization and global productivity in data centers compared with the conventional static resource allocation policy. H…

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Computer Science Preprint PDF DOI

Sparse-on-Dense: Area and Energy-Efficient Computing of Sparse Neural Networks on Dense Matrix Multiplication Accelerators

Hyunsung Yoon, Sungju Ryu, Jae-Joon Kim · 2026

As the size of Deep Neural Networks (DNNs) increases dramatically to achieve high accuracy, the DNNs require a large amount of computations and memory footprint. Pruning, which produces a sparse neura…

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Computer Science Preprint PDF DOI

Counting own goals: High-level assessment of the economic relationship between the ICT and the Oil and Gas sectors and its environmental implications

Gauthier Roussilhe, Beatrice Dromard, Srinjoy Mitra · 2026

The ICT sector has been one of the most successful and fastest-growing industry in history. While the environmental issue in this sector has mainly been addressed by assessing its footprint and, to a …

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Computer Science Preprint PDF DOI

Preventing Distinguishability between Multiplication and Squaring Operations

Alkistis Aikaterini Sigourou, Zoya Dyka, Peter Langendoerfer, Ievgen Kabin · 2026

Scalar multiplication kP is a critical operation in Elliptic Curve Cryptosystems (ECC), often targeted by Side-Channel Analysis (SCA). Despite strategies based on atomic patterns to enhance security, …

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Computer Science Preprint PDF DOI

Small Independent Sets versus Small Separator in Geometric Intersection Graphs

Malory Marin, Remi Watrigant · 2026

While most classical NP-hard graph problems cannot be solved in time $2^{o(n)}$ on general graphs under the Exponential Time Hypothesis (ETH), many exhibit the square-root phenomenon and admit optimal…

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