Risultati della ricerca - coding (algorithm OR (algorithmicsics OR (algorithmssics OR algorithmssics)))

A Markov Chain Monte Carlo Method for Efficient Finite-Length LDPC Code Design di Tanrıkulu, Ata, Yıldırım, Mete, Hareedy, Ahmed

Sommario: “...-LDPC codes with excellent performance. Efficient finite-length (FL) algorithms are required in order...”
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Efficient Black-Box Fault Localization for System-Level Test Code Using Large Language Models di Yaraghi, Ahmadreza Saboor, Gharachorlu, Golnaz, Fatima, Sakina, Briand, Lionel C., Wan, Ruiyuan, Gao, Ruifeng

Sommario: “...'s execution trace through three novel algorithms that identify only code statements likely involved...”
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Lottery BP: Unlocking Quantum Error Decoding at Scale di Zhu, Yanzhang, Peng, Chen-Yu, Chen, Yun Hao, Ueng, Yeong-Luh, Wu, Di

Sommario: “... motivates this paper. Existing decoding algorithms (decoders), such as clustering, matching, belief...”
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LeapFrog: The Rowhammer Instruction Skip Attack di Adiletta, Andrew, Tol, M. Caner, Derya, Kemal, Sunar, Berk, Islam, Saad

Sommario: “... present a new type of Rowhammer gadget, called a LeapFrog gadget, which, when present in the victim code...”
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Mining Action Rules for Defect Reduction Planning di Oueslati, Khouloud, Laberge, Gabriel, Lamothe, Maxime, Khomh, Foutse

Sommario: “..., explainable AI for software engineering aims to identify the code characteristics that impact maintenance...”
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Eliminating Backdoors in Neural Code Models for Secure Code Understanding di Sun, Weisong, Chen, Yuchen, Fang, Chunrong, Feng, Yebo, Xiao, Yuan, Guo, An, Zhang, Quanjun, Liu, Yang, Xu, Baowen, Chen, Zhenyu

Sommario: “...Neural code models (NCMs) have been widely used to address various code understanding tasks...”
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Optimizing High-Level Synthesis Designs with Retrieval-Augmented Large Language Models di Xu, Haocheng, Hu, Haotian, Huang, Sitao

Sommario: “..., existing HLS flows require programmers' hardware design expertise and rely on programmers' manual code...”
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Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks di Lu, Jiawei, Wang, Haoye, Liu, Zhongxin, Liang, Keyu, Bao, Lingfeng, Yang, Xiaohu

Sommario: “...) to handle code intelligence tasks without fine-tuning. ICL employs task instructions and a set of examples...”
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ObfusQate: Unveiling the First Quantum Program Obfuscation Framework di Bartake, Nikhil, Jie, See Toh Zi, Jiawen, Carmen Wong, Kasper, Michael, Balachandran, Vivek

Sommario: “... categories of obfuscations: quantum circuit level obfuscation and code level obfuscation, encompassing a...”
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RepoScope: Leveraging Call Chain-Aware Multi-View Context for Repository-Level Code Generation di Liu, Yang, Zhang, Li, Liu, Fang, Wang, Zhuohang, Wei, Donglin, Yang, Zhishuo, Zhang, Kechi, Li, Jia, Shi, Lin

Sommario: “...Repository-level code generation aims to generate code within the context of a specified repository...”
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TraceLLM: Security Diagnosis Through Traces and Smart Contracts in Ethereum di Wang, Shuzheng, Huang, Yue, Xu, Zhuoer, Huang, Yuming, Tang, Jing

Sommario: “... analysis remains difficult due to unverified code, proxy-based architectures, and the reliance on manual...”
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Automated Compilation Including Dropouts: Tolerating Defective Components in Stabiliser Codes di Wolanski, Stasiu

Sommario: “..., to generate syndrome extraction circuits for general stabiliser codes in the presence of defective couplers...”
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TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models di Park, Chansung, Jiang, Juyong, Wang, Fan, Paul, Sayak, Shen, Jiasi, Tang, Jing, Li, Jianguo

Sommario: “... synthesizing algorithmically sophisticated and robust code still remains a critical challenge. Incentivizing...”
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Structured Safety Auditing for Balancing Code Correctness and Content Safety in LLM-Generated Code di Tan, Honghao, Wang, Haibo, Tan, Shin Hwei

Sommario: “...Large language models (LLMs) for code generation are typically evaluated on functional correctness...”
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Structural Anchors and Reasoning Fragility:Understanding CoT Robustness in LLM4Code di Liu, Yang, Song, Da, Foundjem, Armstrong, Li, Heng, Khomh, Foutse

Sommario: “... models for code (LLM4Code). However, its impact on robustness and the stability of reasoning trajectories...”
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Circular-shift-based Vector Linear Network Coding and Its Application to Array Codes di Jin, Sheng, Zhai, Zhe, Sun, Qifu Tyler, Li, Zongpeng

Sommario: “...$. For the special case that $p = 2$, we propose scheduling encoding algorithms for the 2 new codes, so...”
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Distributed Ranges: A Model for Distributed Data Structures, Algorithms, and Views di Brock, Benjamin, Cohn, Robert, Bakshi, Suyash, Karna, Tuomas, Kim, Jeongnim, Nowak, Mateusz, Ślusarczyk, Łukasz, Stefanski, Kacper, Mattson, Timothy G.

Sommario: “...Data structures and algorithms are essential building blocks for programs, and \emph{distributed...”
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Predict and Conquer: Navigating Algorithm Trade-offs with Quantum Design Automation di Thelen, Simon, Mauerer, Wolfgang

Sommario: “... at the source code level, our framework traces key characteristics of quantum-classical algorithms, and uses...”
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UQSA -- An R-Package for Uncertainty Quantification and Sensitivity Analysis for Biochemical Reaction Network Models di Kramer, Andrei, Milinanni, Federica, Kotaleski, Jeanette Hellgren, Nyquist, Pierre, Jauhiainen, Alexandra, Eriksson, Olivia

Sommario: “... for likelihood-based sampling we provide different algorithms, including the fast geometry-informed algorithm...”
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Knowledge-Aware Code Generation with Large Language Models di Huang, Tao, Sun, Zhihong, Jin, Zhi, Li, Ge, Lyu, Chen

Sommario: “... planning and code writing with the previously acquired knowledge about algorithms and data structures...”
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