Search Results - coding (Algorithmsssic OR algorithm)

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

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

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

Table of Contents: “… 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 by Lv, Changze, Xu, Jingwen, Lu, Yiyang, Wang, Xiaohua, Wang, Zhenghua, Xu, Zhibo, Yu, Di, Du, Xin, Zheng, Xiaoqing, Huang, Xuanjing

Table of Contents: “…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 by Liu, Junkang, Shang, Fanhua, Liu, Yuanyuan, Liu, Hongying, Li, Yuangang, Gong, YunXiang

Table of Contents: “… 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 by Yang, Rui, Wang, Ziruo, Gu, Yuntian, Chen, Tianyi, Liang, Yitao, Li, Tongyang

Table of Contents: “… 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 by Insung Park, Hitomi Ogata, Kumpei Tokuyama

Table of Contents: “… 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 by Liang, Ruichao, Chen, Jing, Wu, Cong, He, Kun, Wu, Yueming, Cao, Ruochen, Du, Ruiying, Liu, Yang, Zhao, Ziming

Table of Contents: “…, 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 by Chisnevski, Nir, Tal, Ido, Shamai, Shlomo

Table of Contents: “… 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 by Spoto, Federica, Tian, Jiazi, Hügel, Jonas, Ortega, Daniel T., Ritchie, Christine S., Blacker, Deborah, Dominici, Francesca, Patel, Chirag J., Mork, Daniel, Estiri, Hossein

Table of Contents: “… 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 by 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

Table of Contents: “…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 by Zhang, Binquan, Zhang, Li, Zhang, Haoyuan, Liu, Fang, Wang, Song, Shen, Bo, Fu, An, Shi, Lin

Table of Contents: “… 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 by Weir, Nathaniel, Khalifa, Muhammad, Qiu, Linlu, Weller, Orion, Clark, Peter

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

Table of Contents: “… 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 by 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

Table of Contents: “…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 by Hossain, S M Mostaq, Altarawneh, Amani, Roberts, Jesse

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

Table of Contents: “… 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 by Yang, Liu, Nie, Zeyu, Liu, Andrew, Zou, Felix, Altinbüken, Deniz, Yazdanbakhsh, Amir, Liu, Quanquan C.

Table of Contents: “… 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 by Zhu, Chenghong, Wu, Xian, Chen, Jiahan, He, Keming, Wu, Junjie, Wang, Xin, Lao, Lingling

Table of Contents: “… 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 by Jordan Nelson, Michalis Pavlidis, Andrew Fish, Nikolaos Polatidis, Yannis Manolopoulos

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