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🔍 changick kim 📂 Computer Science
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Computer Science Preprint PDF DOI

Energy-Aware Quantum-Enhanced Computing Continuum

Carlos J. Barrios H., Frederic Le Mouel, Oscar Carrillo · 2026

We discuss a Quantum-Enhanced Computing Continuum, a heterogeneous, hybrid architecture that integrates quantum processing units (QPUs) within an Edge-Cloud-HPC fabric. Promote sustainability by shift…

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Computer Science Preprint PDF DOI

AME-PIM: Can Memory be Your Next Tensor Accelerator?

Emanuele Venieri, Simone Manoni, Alberto Florian, Jaehyun Park, Kyomin Sohn, Andrea Bartolini · 2026

High Bandwidth Memory with Processing-in-Memory (HBM-PIM) offers an opportunity to reduce data movement by executing computation directly inside memory, but current commercial platforms expose limited…

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Computer Science Preprint PDF DOI

How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews

Riley Grossman, Songjiang Liu, Michael K. Chen, Mike Smith, Cristian Borcea, Yi Chen · 2026

Generative AI is being increasingly integrated into web search for the convenience it provides users. In this work, we aim to understand how generative AI disrupts web search by retrieving and present…

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Computer Science Preprint PDF DOI

RuC: HDL-Agnostic Rule Completion Benchmark Generation

Arnau Ayguade Domingo, Miquel Alberti-Binimelis, Cristian Gutierrez-Gomez, Emanuele Parisi, Razine Moundir Ghorab, Miquel Moreto, Gokcen Kestor, Dario Garcia-Gasulla · 2026

Large Language Models (LLMs) have rapidly improved in performance across code-related tasks, making their integration into Register Transfer Level (RTL) development increasingly attractive. Mimicking …

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Computer Science Preprint PDF DOI

Position-Aware Drafting for Inference Acceleration in LLM-Based Generative List-Wise Recommendation

Jiaju Chen, Chongming Gao, Chenxiao Fan, Haoyan Liu, Qingpeng Cai, Peng Jiang, Xiangnan He · 2026

Large language model (LLM)-based generative list-wise recommendation has advanced rapidly, but decoding remains sequential and thus latency-prone. To accelerate inference without changing the target d…

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Computer Science Preprint PDF DOI

treVM: Tiny Rust Embedded Virtual Machines with WASM on Variable Resource-Constrained Hardware

Antoine Lavandier, Bastien Buil, Chrystel Gaber, Emmanuel Baccelli · 2026

Software stacks embedded on microcontroller-based hardware typically provide rudimentary APIs programmed in C/C++, basic connectivity and, sometimes, a firmware update mechanism. Such coarse mechanism…

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Computer Science Preprint PDF DOI

I'm Fine, But My Voice Isn't: Cross-Modal Affective Dissonance Detection for Reflective Journaling

Sumin Lee · 2026

Digital journaling creates an authenticity gap: users consciously translate raw emotions into text, often sanitizing narratives even in private writing. We formalize this as Cross-Modal Affective Diss…

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Computer Science Preprint PDF DOI

RCW-CIM: A Digital CIM-based LLM Accelerator with Read-Compute/Write

Yan-Cheng Guo, Tian-Sheuan Chang, Jian-Wei Su · 2026

Digital computing-in-memory (DCIM) has emerged as a promising solution for large language model (LLM) acceleration by minimizing data transfers between external DRAM and on-chip accelerators while mai…

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Computer Science Preprint PDF DOI

Self-Evolving Software Agents

Marco Robol, Paolo Giorgini · 2026

Autonomous agents can adapt their behaviour to changing environments, but remain bound to requirements, goals, and capabilities fixed at design time, preventing genuine software evolution. This paper …

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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

Understanding the Skills Gap between Higher Education Institutions and the Software Engineering Industry

Huy Phan, Ievgeniia Kuzminykh, Bogdan Ghita · 2026

In the rapidly evolving field of software engineering, the skills required of graduates entering the job market are constantly changing. Several studies have identified a gap between the skills taught…

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Computer Science Preprint PDF DOI

The Bandit's Blind Spot: The Critical Role of User State Representation in Recommender Systems

Pedro R. Pires, Gregorio F. Azevedo, Rafael T. Sereicikas, Pietro L. Campos, Tiago A. Almeida · 2026

With the increasing availability of online information, recommender systems have become an important tool for many web-based systems. Due to the continuous aspect of recommendation environments, these…

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Computer Science Preprint PDF DOI

Automaton-based Characterisations of First Order Logic over Infinite Trees

Massimo Benerecetti, Dario Della Monica, Angelo Matteo, Fabio Mogavero, Gabriele Puppis · 2026

We study the expressive power of First-Order Logic (\FO) over (unordered) infinite trees, with the aim of identifying robust characterisations in terms of branching-time specification formalisms. Whil…

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Computer Science Preprint PDF DOI

Flashback: A Reversible Bilateral Run-Peeling Decomposition of Strings

Thomas Konstantinovsky, Gur Yaari · 2026

We introduce Flashback, a reversible string decomposition that repeatedly peels the maximal leading and trailing character runs from a sentinel-wrapped input, recording each pair as one bilateral toke…

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Computer Science Preprint PDF DOI

On the degradations of Binary-Input Discrete Memoryless Channels

Yadong Jiao, Xiaoyan Cheng, Yuansheng Tang, Ming Xu · 2026

For the polar codes introduced by Arikan in 2009, the first code family achieving the capacity of binary-input discrete memoryless channels (BIDMCs) with low-complexity encoding and decoding, it is cr…

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Computer Science Preprint PDF DOI

Making the Invisible Visible: Toward Micro-Expression Visualization for Empathy in Social Interaction

Feiyang Yin, Isidro Butaslac, Patrick Gebhard, Monica Perusquia-Hernandez, Zhaofeng Niu, Taishi Sawabe, Hirokazu Kato · 2026

Micro-expressions are brief and subtle facial movements that convey nuanced affective information but often remain imperceptible during natural social interaction. Although prior research has primaril…

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Computer Science Preprint PDF DOI

TetrisG-SDK: Efficient Convolutional Layer Mapping with Adaptive Windows and Grouped Convolutions for Fast In-Memory Computing

Ke Dong, Kejie Huang, Tao Luo, Bo Wang · 2026

Shifted-and-Duplicated-Kernel (SDK) mapping has emerged as an effective strategy to accelerate convolutional layers on compute-in-memory (CIM) hardware. However, existing SDK variants (e.g., VWC-SDK) …

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Computer Science Preprint PDF DOI

FusionCIM: Accelerating LLM Inference with Fusion-Driven Computing-in-Memory Architecture

Zihao Xuan, Jia Chen, Yewen Li, Wei Xuan, Hegan Chen, Xiao Huo, Fengbin Tu · 2026

In this paper, we propose FusionCIM, an operator-fusion-driven compute-in-memory (CIM) accelerator architecture for efficient and scalable LLM inference, with three key innovations: (1) a hybrid CIM p…

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Computer Science Preprint PDF DOI

Adaptive Management of Microservices in Dynamic Computing Environments: A Taxonomy and Future Directions

Ming Chen, Muhammed Tawfiqul Islam, Maria Rodriguez Read, Rajkumar Buyya · 2026

Microservice-based cloud applications face changing workloads, evolving request paths, variable network conditions, interference, and failures. These dynamics couple autoscaling, placement, routing, i…

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Computer Science Preprint PDF DOI

Machine-Checked Cardinality Bounds for Masked Barrett Reduction: A 1-Bit Side-Channel Leakage Barrier in Post-Quantum Cryptographic Hardware

Ray Iskander, Khaled Kirah · 2026

Barrett reduction is the nonlinear core of every practical NTT-based post-quantum cryptography implementation. Existing composition frameworks (ISW, t-SNI, PINI, DOM) address Boolean masking over GF(2…

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