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🔍 imre risi kondor 📂 Computer Science
Showing 16162 results for "imre risi kondor" in Computer Science
Computer Science Preprint PDF DOI

Akita: A High Usability Simulation Framework for Computer Architecture

Sabila Al Jannat, Ying Li, Mengyang He, Xuzhong Wang, Huizhi Zhao, Jingxiang Sun, Daoxuan Xu, Enze Xu, Yifan Sun · 2026

Computer architecture simulation is essential for evaluating new designs without the need for costly tapeout. The community has developed dozens of valuable simulators that have enabled significant ar…

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Computer Science Preprint PDF DOI

Characterizing Path-Independent Fees: A Route to Zero Impermanent Loss in CPMMs

Andrey Voronin, Roman Vlasov, Vladimir Gorgadze, Andrey Seoev, Yury Yanovich · 2026

Constant Product Market Makers use fees that are typically fixed proportions of trade size. When these fees are automatically reinvested into the pool, as in Uniswap~V2 and some designs of Uniswap V4,…

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Computer Science Preprint PDF DOI

From Impermanent Loss to Sustainable Gain: Quantifying Profitability Zones for Liquidity Providers on DEX

Ignat Melnikov, Roman Vlasov, Vladimir Gorgadze, Andrey Seoev, Yury Yanovich · 2026

Decentralized Finance (DeFi) is a rapidly evolving segment of blockchain technology that enables a transformative approach to financial services through Web3 applications. By leveraging smart contract…

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Computer Science Preprint PDF DOI

Synthetic Biological Intelligence: System-Level Abstractions and Adaptive Bio-Digital Interaction

Martin Schottlender, Pengjie Zhou, Veronika Volkova, Fatima Rani, Ruifeng Zheng, Juan A. Cabrera, Frank H.P. Fitzek, Pit Hofmann · 2026

Concurrent advances across fields such as organoid technology, Microelectrode Arrays (MEAs), neuromorphic computing, and machine learning have given rise to a groundbreaking research paradigm: Synthet…

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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

Test Before You Deploy: Governing Updates in the LLM Supply Chain

Mohd Sameen Chishti, Damilare Peter Oyinloye, Jingyue Li · 2026

Large Language Models (LLMs) are increasingly used as core dependencies in software systems. However, the hosted LLM services evolve continuously through provider-side updates without explicit version…

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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

PuzzleMark: Implicit Jigsaw Learning for Robust Code Dataset Watermarking in Neural Code Completion Models

Haocheng Huang, Yuchen Chen, Weisong Sun, Peizhuo Lv, Yuan Xiao, Chunrong Fang, Yang Liu, Xiaofang Zhang · 2026

Constructing and curating high-quality code datasets requires significant resources, making them valuable intellectual property. Unfortunately, these datasets currently face severe risks of unauthoriz…

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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

Examining discontinuance of AI-mediated informal digital learning of English (AI-IDLE) among university students: Evidence from SEM and fsQCA

Yiran Du, Huimin He · 2026

This study examined university students' discontinuance intention towards AI-mediated informal digital learning of English (AI-IDLE). Drawing on the cognition-affect-conation framework, the study inve…

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Computer Science Preprint PDF DOI

Structural Dissolution: How Artificial Intelligence Dismantles Coordination Architecture and Reconfigures the Political Economy of Production

Chao Li (AI Edtech Governance Trust, Independent Researcher in AI Governance), Chunyi Zhao (AI Edtech Governance Trust, Independent Researcher in AI Governance) · 2026

This paper introduces the Structural Dissolution Framework to explain how artificial intelligence restructures the coordination architecture of traditional industries. We argue that AI dissolves the b…

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Computer Science Preprint PDF DOI

Beyond One-Size-Fits-All Exercises: Personalizing Computer Science Worksheets with Large Language Models

Franco Ortiz, Runlong Ye, Michael Liut · 2026

Large Language Models (LLMs) have been widely applied to student-facing educational tools, this work explores their use in supporting instructors by presenting a practical adaptation of the Framework …

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Computer Science Preprint PDF DOI

The Likelihood Ratio Wall: Structural Limits on Accurate Risk Assessment for Rare Violence

Marco Pollanen · 2026

Pretrial risk assessment tools are used on over one million U.S. defendants each year, yet their use for predicting rare violent re-offense faces a basic statistical barrier. We derive a universal pre…

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Computer Science Preprint PDF DOI

Evaluating Epistemic Guardrails in AI Reading Assistants: A Behavioral Audit of a Minimal Prototype

Matthew Christian Agustin · 2026

Large language model (LLM) reading assistants are increasingly used in settings that require interpretation rather than simple retrieval. In these contexts, the central risk is not only error or unsaf…

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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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Computer Science Preprint PDF DOI

Indirect Prompt Injection in the Wild: An Empirical Study of Prevalence, Techniques, and Objectives

Soheil Khodayari, Xuenan Zhang, Bhupendra Acharya, Giancarlo Pellegrino · 2026

As LLMs are increasingly integrated into systems that browse, retrieve, summarize, and act on web content, webpages have become an untrusted input vector for downstream model behavior. This enables si…

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Computer Science Preprint PDF DOI

Low-Complexity Run-Length-Limited ISI-Mitigation (RLIM) Codes for Molecular Communication

Melih Sahin, Ozgur B. Akan · 2026

Molecular communication suffers from severe inter-symbol interference, which makes constrained coding essential for reliable transmission. Run-length-limited ISI-mitigation codes are attractive becaus…

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Computer Science Preprint PDF DOI

Distributed Multi-View Vision-Only RSSI Estimation

Jung-Beom Kim, Woongsup Lee · 2026

Received Signal Strength Indicator (RSSI) estimation is essential for wireless link management, yet conventional feedback-based approaches incur uplink overhead, suffer from measurement instability, a…

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Computer Science Preprint PDF DOI

Which Types of Heterogeneity Matter for Root Cause Localization in Microservice Systems ?

Runzhou Wang, Shenglin Zhang, Wenwei Gu, Yongxin Zhao, Chenyu Zhao, Dan Pei, Yuxuan Chen, Yangyuxin Huang · 2026

Microservice root cause localization is fundamentally challenged by the inherent heterogeneity of cloud-native systems, which encompasses diverse observability data and multiple system entities. Exist…

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Computer Science Preprint PDF DOI

Verification and Validation (V&V)-in-the-Loop for RISC-V Design: The Holistic Vision of BZL

Sajjad Ahmed, Alexander Kropotov, Roberto Ignacio Genovese, Bernat Homs, Eloi Merino, Francesco Urbani, Henrique Yano, Ivan Diaz, Joan Gracia Fernandez, Matteo Toselli, Muhammad Imran, Muhammad Abu Bakar Umar Haider Iqbal, Nadeem Yaseen, Quswar Abid, Shaista Cheema, Samuel Sanchez, Daniel Garcia, Joan Cabre, Mostafa Elyasi, Fernando Ayats, Miquel Moreto, Teresa Cervero, Oscar Palomar, Behzad Salami · 2026

The Barcelona Zetascale Lab (BZL) project aims to strengthening Europe's capacity in the design and manufacture of RISC-V based high-performance computing chips. In this context, we present a holistic…

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