Risultati della ricerca - coding (algorithmssics OR (algorithm OR (Algorithmsssic OR algorithmsssic)))

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

Sommario: “...Recently, text watermarking algorithms for large language models (LLMs) have been proposed...”
Testo

Tensorized NeuroEvolution of Augmenting Topologies for GPU Acceleration di Wang, Lishuang, Zhao, Mengfei, Liu, Enyu, Sun, Kebin, Cheng, Ran

Sommario: “...The NeuroEvolution of Augmenting Topologies (NEAT) algorithm has received considerable recognition...”
Testo

The CLRS-Text Algorithmic Reasoning Language Benchmark di Markeeva, Larisa, McLeish, Sean, Ibarz, Borja, Bounsi, Wilfried, Kozlova, Olga, Vitvitskyi, Alex, Blundell, Charles, Goldstein, Tom, Schwarzschild, Avi, Veličković, Petar

Sommario: “... years ago, a similar issue was identified and rectified in the field of neural algorithmic reasoning...”
Testo

Dendritic Localized Learning: Toward Biologically Plausible Algorithm di Lv, Changze, Xu, Jingwen, Lu, Yiyang, Wang, Xiaohua, Wang, Zhenghua, Xu, Zhibo, Yu, Di, Du, Xin, Zheng, Xiaoqing, Huang, Xuanjing

Sommario: “...Backpropagation is the foundational algorithm for training neural networks and a key driver of deep...”
Testo

FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning di Liu, Junkang, Shang, Fanhua, Liu, Yuanyuan, Liu, Hongying, Li, Yuangang, Gong, YunXiang

Sommario: “... the superiority of the proposed algorithms compared to state-of-the-art algorithms. The code is available...”
Testo

QCircuitBench: A Large-Scale Dataset for Benchmarking Quantum Algorithm Design di Yang, Rui, Wang, Ziruo, Gu, Yuntian, Chen, Tianyi, Liang, Yitao, Li, Tongyang

Sommario: “... classical computing through quantum algorithms. However, designing and implementing quantum algorithms pose...”
Testo

Algorithm for transient response of human open‐circuit whole‐room indirect calorimetry: A review and future perspective di Insung Park, Hitomi Ogata, Kumpei Tokuyama

Sommario: “... be benchmarked against existing algorithms, and the source code should be made publicly available to facilitate...”
Testo

Vulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzing di Liang, Ruichao, Chen, Jing, Wu, Cong, He, Kun, Wu, Yueming, Cao, Ruochen, Du, Ruiying, Liu, Yang, Zhao, Ziming

Sommario: “..., aiming for comprehensive program coverage, may lead to a wastage of testing resources on benign code...”
Testo

An Analytical Study of the Min-Sum Approximation for Polar Codes di Chisnevski, Nir, Tal, Ido, Shamai, Shlomo

Sommario: “... in time $O(N^{1.585})$, where $N$ is the codeword length. This implies a code construction algorithm...”
Testo

Quantifying Diagnostic Signal Decay in Dementia: A National Study of Medicare Hospitalization Data di Spoto, Federica, Tian, Jiazi, Hügel, Jonas, Ortega, Daniel T., Ritchie, Christine S., Blacker, Deborah, Dominici, Francesca, Patel, Chirag J., Mork, Daniel, Estiri, Hossein

Sommario: “... Part A hospitalization data from 2016-2018 to examine patterns of dementia-related ICD-10 code...”
Testo

LaTCoder: Converting Webpage Design to Code with Layout-as-Thought di 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

Sommario: “...Converting webpage designs into code (design-to-code) plays a vital role in User Interface (UI...”
Testo

Decoding Human-LLM Collaboration in Coding: An Empirical Study of Multi-Turn Conversations in the Wild di Zhang, Binquan, Zhang, Li, Zhang, Haoyuan, Liu, Fang, Wang, Song, Shen, Bo, Fu, An, Shi, Lin

Sommario: “... coding. While datasets such as LMSYS-Chat-1M and WildChat capture real-world user-LLM conversations, few...”
Testo

Learning to Reason via Program Generation, Emulation, and Search di Weir, Nathaniel, Khalifa, Muhammad, Qiu, Linlu, Weller, Orion, Clark, Peter

Sommario: “...Program synthesis with language models (LMs) has unlocked a large set of reasoning abilities; code...”
Testo

Automated Design of Agentic Systems di Hu, Shengran, Lu, Cong, Clune, Jeff

Sommario: “... across multiple domains including coding, science, and math, we show that our algorithm can progressively...”
Testo

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings di 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

Sommario: “...With the increasing code reasoning capabilities of existing large language models (LLMs...”
Testo

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection di Hossain, S M Mostaq, Altarawneh, Amani, Roberts, Jesse

Sommario: “... annotated vulnerabilities on which several LLMs alongside various traditional machine learning algorithms...”
Testo

Accelerating Graph Indexing for ANNS on Modern CPUs di Wang, Mengzhao, Wu, Haotian, Ke, Xiangyu, Gao, Yunjun, Zhu, Yifan, Zhou, Wenchao

Sommario: “... efficiency and accuracy. Many modern vector databases utilize graph indexes as their core algorithms...”
Testo

ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution di Yang, Liu, Nie, Zeyu, Liu, Andrew, Zou, Felix, Altinbüken, Deniz, Yazdanbakhsh, Amir, Liu, Quanquan C.

Sommario: “... catastrophically on these tasks, generating code plagued by subtle race conditions, deadlocks, and sub-optimal...”
Testo

O3LS: Optimizing Lattice Surgery via Automatic Layout Searching and Loose Scheduling di Zhu, Chenghong, Wu, Xian, Chen, Jiahan, He, Keming, Wu, Junjie, Wang, Xin, Lao, Lingling

Sommario: “... is essential. Among various quantum error-correcting codes, the surface code stands out as a leading candidate...”
Testo

Leveraging Ethical Narratives to Enhance LLM‐AutoML Generated Machine Learning Models di Jordan Nelson, Michalis Pavlidis, Andrew Fish, Nikolaos Polatidis, Yannis Manolopoulos

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