Suchergebnisse - coding (algorithm OR (Algorithmsssssic OR Algorithmsssssic))

An Unforgeable Publicly Verifiable Watermark for Large Language Models von Liu, Aiwei, Pan, Leyi, Hu, Xuming, Li, Shu'ang, Wen, Lijie, King, Irwin, Yu, Philip S.

Inhaltsangabe: “… Recently, text watermarking algorithms for large language models (LLMs) have been proposed …”
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Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration von Wang, Lishuang, Zhao, Mengfei, Liu, Enyu, Sun, Kebin, Cheng, Ran

Inhaltsangabe: “… The NeuroEvolution of Augmenting Topologies (NEAT) algorithm has received considerable recognition …”
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The CLRS-Text Algorithmic Reasoning Language Benchmark von Markeeva, Larisa, McLeish, Sean, Ibarz, Borja, Bounsi, Wilfried, Kozlova, Olga, Vitvitskyi, Alex, Blundell, Charles, Goldstein, Tom, Schwarzschild, Avi, Veličković, Petar

Inhaltsangabe: “… years ago, a similar issue was identified and rectified in the field of neural algorithmic reasoning …”
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Dendritic Localized Learning: Toward Biologically Plausible Algorithm von Lv, Changze, Xu, Jingwen, Lu, Yiyang, Wang, Xiaohua, Wang, Zhenghua, Xu, Zhibo, Yu, Di, Du, Xin, Zheng, Xiaoqing, Huang, Xuanjing

Inhaltsangabe: “… Backpropagation is the foundational algorithm for training neural networks and a key driver of deep …”
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FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning von Liu, Junkang, Shang, Fanhua, Liu, Yuanyuan, Liu, Hongying, Li, Yuangang, Gong, YunXiang

Inhaltsangabe: “… the superiority of the proposed algorithms compared to state-of-the-art algorithms. The code is available …”
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QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design von Yang, Rui, Wang, Ziruo, Gu, Yuntian, Chen, Tianyi, Liang, Yitao, Li, Tongyang

Inhaltsangabe: “… classical computing through quantum algorithms. However, designing and implementing quantum algorithms pose …”
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Algorithm for transient response of human open‐circuit whole‐room indirect calorimetry: A review and future perspective von Insung Park, Hitomi Ogata, Kumpei Tokuyama

Inhaltsangabe: “… be benchmarked against existing algorithms, and the source code should be made publicly available to facilitate …”
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Vulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzing von Liang, Ruichao, Chen, Jing, Wu, Cong, He, Kun, Wu, Yueming, Cao, Ruochen, Du, Ruiying, Liu, Yang, Zhao, Ziming

Inhaltsangabe: “… , aiming for comprehensive program coverage, may lead to a wastage of testing resources on benign code …”
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An Analytical Study of the Min-Sum Approximation for Polar Codes von Chisnevski, Nir, Tal, Ido, Shamai, Shlomo

Inhaltsangabe: “… in time $O(N^{1.585})$, where $N$ is the codeword length. This implies a code construction algorithm …”
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Quantifying Diagnostic Signal Decay in Dementia: A National Study of Medicare Hospitalization Data von Spoto, Federica, Tian, Jiazi, Hügel, Jonas, Ortega, Daniel T., Ritchie, Christine S., Blacker, Deborah, Dominici, Francesca, Patel, Chirag J., Mork, Daniel, Estiri, Hossein

Inhaltsangabe: “… Part A hospitalization data from 2016-2018 to examine patterns of dementia-related ICD-10 code …”
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LaTCoder: Converting Webpage Design to Code with Layout-as-Thought von Gui, Yi, Li, Zhen, Zhang, Zhongyi, Wang, Guohao, Lv, Tianpeng, Jiang, Gaoyang, Liu, Yi, Chen, Dongping, Wan, Yao, Zhang, Hongyu, Jiang, Wenbin, Shi, Xuanhua, Jin, Hai

Inhaltsangabe: “… Converting webpage designs into code (design-to-code) plays a vital role in User Interface (UI …”
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Decoding Human-LLM Collaboration in Coding: An Empirical Study of Multi-Turn Conversations in the Wild von Zhang, Binquan, Zhang, Li, Zhang, Haoyuan, Liu, Fang, Wang, Song, Shen, Bo, Fu, An, Shi, Lin

Inhaltsangabe: “… coding. While datasets such as LMSYS-Chat-1M and WildChat capture real-world user-LLM conversations, few …”
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Learning to Reason via Program Generation, Emulation, and Search von Weir, Nathaniel, Khalifa, Muhammad, Qiu, Linlu, Weller, Orion, Clark, Peter

Inhaltsangabe: “… Program synthesis with language models (LMs) has unlocked a large set of reasoning abilities; code …”
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Automated Design of Agentic Systems von Hu, Shengran, Lu, Cong, Clune, Jeff

Inhaltsangabe: “… across multiple domains including coding, science, and math, we show that our algorithm can progressively …”
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CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings von Quan, Shanghaoran, Yang, Jiaxi, Yu, Bowen, Zheng, Bo, Liu, Dayiheng, Yang, An, Ren, Xuancheng, Gao, Bofei, Miao, Yibo, Feng, Yunlong, Wang, Zekun, Yang, Jian, Cui, Zeyu, Fan, Yang, Zhang, Yichang, Hui, Binyuan, Lin, Junyang

Inhaltsangabe: “… With the increasing code reasoning capabilities of existing large language models (LLMs …”
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Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection von Hossain, S M Mostaq, Altarawneh, Amani, Roberts, Jesse

Inhaltsangabe: “… annotated vulnerabilities on which several LLMs alongside various traditional machine learning algorithms …”
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Accelerating Graph Indexing for ANNS on Modern CPUs von Wang, Mengzhao, Wu, Haotian, Ke, Xiangyu, Gao, Yunjun, Zhu, Yifan, Zhou, Wenchao

Inhaltsangabe: “… efficiency and accuracy. Many modern vector databases utilize graph indexes as their core algorithms …”
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ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution von Yang, Liu, Nie, Zeyu, Liu, Andrew, Zou, Felix, Altinbüken, Deniz, Yazdanbakhsh, Amir, Liu, Quanquan C.

Inhaltsangabe: “… catastrophically on these tasks, generating code plagued by subtle race conditions, deadlocks, and sub-optimal …”
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O3LS: Optimizing Lattice Surgery via Automatic Layout Searching and Loose Scheduling von Zhu, Chenghong, Wu, Xian, Chen, Jiahan, He, Keming, Wu, Junjie, Wang, Xin, Lao, Lingling

Inhaltsangabe: “… is essential. Among various quantum error-correcting codes, the surface code stands out as a leading candidate …”
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Leveraging Ethical Narratives to Enhance LLM‐AutoML Generated Machine Learning Models von Jordan Nelson, Michalis Pavlidis, Andrew Fish, Nikolaos Polatidis, Yannis Manolopoulos

Inhaltsangabe: “… is the quality of code generated by these models, which often contains errors and encourages poor programming …”
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