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  1. 1181

    Reducing Storage of Pretrained Neural Networks by Rate-Constrained Quantization and Entropy Coding by Conzelmann, Alexander, Bamler, Robert

    Published 2025
    Table of Contents: “… algorithm NNCodec. Our code is available at https://github.com/Conzel/cerwu. …”
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  2. 1182

    A Neural Network-aided Low Complexity Chase Decoder for URLLC by Testi, Enrico, Paolini, Enrico

    Published 2025
    Table of Contents: “…Ultra-reliable low-latency communications (URLLC) demand decoding algorithms that simultaneously…”
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  3. 1183

    NuFast-Earth: Efficient Atmospheric, Solar, and Supernova Neutrino Propagation Through the Earth by Denton, Peter B., Parke, Stephen J.

    Published 2025
    Table of Contents: “… neutrinos will continue to increase. To address these issues, we expand upon our previous algorithm for long…”
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  4. 1184

    Evaluating the Energy-Efficiency of the Code Generated by LLMs by Islam, Md Arman, Jonnala, Devi Varaprasad, Rekhi, Ritika, Pokharel, Pratik, Cilamkoti, Siddharth, Imran, Asif, Kosar, Tevfik, Turkkan, Bekir

    Published 2025
    Table of Contents: “…As the quality of code generated by Large Language Models (LLMs) improves, their adoption…”
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  5. 1185

    Symplectic Lattices and GKP Codes -- Simple Randomized Constructions from Cryptographic Lattices by Blömer, Johannes, Xiao, Yinzi, Raissi, Zahra, Soltan, Stanislaw

    Published 2025
    Table of Contents: “…We construct good GKP (Gottesman-Kitaev-Preskill) codes (in the sense of Conrad, Eisert and Seifert…”
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  6. 1186

    MaxCode: A Max-Reward Reinforcement Learning Framework for Automated Code Optimization by Ou, Jiefu, Chaudhary, Sapana, Bostrom, Kaj, Weir, Nathaniel, Zhang, Shuai, Rangwala, Huzefa, Karypis, George

    Published 2026
    Table of Contents: “… (such as performant CUDA kernels and competition-level CPU code) requires expertise in systems, algorithms…”
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  7. 1187

    Industrial-Scale Neural Network Clone Detection with Disk-Based Similarity Search by Ahmed, Gul Aftab, Chochlov, Muslim, Razzaq, Abdul, Patten, James Vincent, Han, Yuanhua, Lu, Guoxian, Buckley, Jim, Gregg, David

    Published 2025
    Table of Contents: “…Code clones are similar code fragments that often arise from copy-and-paste programming. Neural…”
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  8. 1188

    CodeRL+: Improving Code Generation via Reinforcement with Execution Semantics Alignment by Jiang, Xue, Dong, Yihong, Liu, Mengyang, Deng, Hongyi, Wang, Tian, Tao, Yongding, Cao, Rongyu, Li, Binhua, Jin, Zhi, Jiao, Wenpin, Huang, Fei, Li, Yongbin, Li, Ge

    Published 2025
    Table of Contents: “…While Large Language Models (LLMs) excel at code generation by learning from vast code corpora, a…”
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  9. 1189

    Low-Complexity PSCL Decoding of Polar Codes by Yao, Xinyuanmeng, Ma, Xiao

    Published 2024
    Table of Contents: “… decoding algorithm with low latency and complexity for polar-like codes. To achieve this, we define two…”
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  10. 1190

    Code-Vision: Evaluating Multimodal LLMs Logic Understanding and Code Generation Capabilities by Wang, Hanbin, Zhou, Xiaoxuan, Xu, Zhipeng, Cheng, Keyuan, Zuo, Yuxin, Tian, Kai, Song, Jingwei, Lu, Junting, Hu, Wenhui, Liu, Xueyang

    Published 2025
    Table of Contents: “… and code generation capabilities of Multimodal Large Language Models (MLLMs). It challenges MLLMs…”
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  11. 1191

    "Don't Do That!": Guiding Embodied Systems through Large Language Model-based Constraint Generation by Seffo, Amin, Djuhera, Aladin, Asai, Masataro, Boche, Holger

    Published 2025
    Table of Contents: “… formal description that can be passed on to a planning algorithm. In this paper, we propose STPR, a…”
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  12. 1192

    Model Cascading for Code: A Cascaded Black-Box Multi-Model Framework for Cost-Efficient Code Completion with Self-Testing by Chen, Boyuan, Zhu, Mingzhi, Dolan-Gavitt, Brendan, Shafique, Muhammad, Garg, Siddharth

    Published 2024
    Table of Contents: “…The rapid advancement of large language models (LLMs) has significantly improved code completion…”
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  13. 1193

    The Quantum Decoding Problem : Tight Achievability Bounds and Application to Regev's Reduction by Blanvillain, Agathe, Chailloux, André, Tillich, Jean-Pierre

    Published 2025
    Table of Contents: “… algorithms have an exponential complexity. They also give an information theoretic limit for the code rate…”
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  14. 1194

    Combining Static Code Analysis and Large Language Models Improves Correctness and Performance of Algorithm Recognition by Neumüller, Denis, Boll, Sebastian, Schüler, David, Tichy, Matthias

    Published 2026
    Table of Contents: “… understanding source code, the ability to automatically identify algorithms within source code presents a…”
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  15. 1195

    Design of Minimum Correlated, Maximal Clique Sets of One-Dimensional Uni-polar (Optical) Orthogonal Codes by Chauhan, Ram Chandra Singh, Singh, Yatindra Nath, Asthana, Rachna

    Published 2013
    Table of Contents: “…This paper proposes an algorithm to search a family of multiple sets of minimum correlated one…”
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  16. 1196
  17. 1197

    Predict and Conquer: Navigating Algorithm Trade-offs with Quantum Design Automation by Thelen, Simon, Mauerer, Wolfgang

    Published 2025
    Table of Contents: “… at the source code level, our framework traces key characteristics of quantum-classical algorithms, and uses…”
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  18. 1198

    Entropy-Reinforced Planning with Large Language Models for Drug Discovery by Liu, Xuefeng, Tien, Chih-chan, Ding, Peng, Jiang, Songhao, Stevens, Rick L.

    Published 2024
    Table of Contents: “… illustrate the capabilities of ERP, we tested our algorithm on three code generation benchmarks…”
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  19. 1199

    Cycles and Cuts in Supersingular L-Isogeny Graphs by Arpin, Sarah, Bowden, Ross, Clements, James, Ghantous, Wissam, LeGrow, Jason T., Maughan, Krystal

    Published 2025
    Table of Contents: “… spectral algorithms for computing optimal graph cuts. We provide code and study explicit examples…”
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  20. 1200

    Fixed-Point-Oriented Programming: A Concise and Elegant Paradigm by Foo, Yong Qi, Cheong, Brian Sze-Kai, Adams, Michael D.

    Published 2025
    Table of Contents: “… the implementation of problems involving self-referential computations. These include graph algorithms, static…”
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