Suchergebnisse - coding ((algorithmics OR (algorithm OR algorithm)) OR (algorithm OR Algorithmssics))

ChatHTTPFuzz: Large Language Model-Assisted IoT HTTP Fuzzing von Yang, Zhe, Peng, Hao, Jiang, Yanling, Li, Xingwei, Du, Haohua, Wang, Shuhai, Liu, Jianwei

Inhaltsangabe: “… in parsing HTTP protocol data and analyzing code logic. Based on these findings, we propose a novel LLM …”
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QiMeng-CodeV-R1: Reasoning-Enhanced Verilog Generation von Zhu, Yaoyu, Huang, Di, Lyu, Hanqi, Zhang, Xiaoyun, Li, Chongxiao, Shi, Wenxuan, Wu, Yutong, Mu, Jianan, Wang, Jinghua, Zhao, Yang, Jin, Pengwei, Cheng, Shuyao, Liang, Shengwen, Zhang, Xishan, Zhang, Rui, Du, Zidong, Guo, Qi, Hu, Xing, Chen, Yunji

Inhaltsangabe: “… , the scarcity of high-quality NL-code pairs, and the prohibitive computation cost of RLVR. To this end, we …”
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LLM-Powered Code Analysis and Optimization for Gaussian Splatting Kernels von Hu, Yi, Zhou, Huiyang

Inhaltsangabe: “… specialized real-world GPU kernels. We reveal the intricacies of using LLMs for code optimization and analyze …”
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Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study von Liu, Mingwei, Pei, Zheng, Wang, Yanlin, Wang, Zihao, Li, Zikang, Lin, Enci, Peng, Xin, Zheng, Zibin

Inhaltsangabe: “… sufficient pre-training exposure, resulting in poor code generation performance. Although they generally …”
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HCAG: Hierarchical Abstraction and Retrieval-Augmented Generation on Theoretical Repositories with LLMs von Wu, Yusen, Deng, Xiaotie

Inhaltsangabe: “… Existing Retrieval-Augmented Generation (RAG) methods for code struggle to capture the high-level …”
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A Fully Integrated Patch for Real‐Time AI‐Enhanced Haptic Closed‐Loop Interaction of Complete 128 ASCII Codes von Zhi Ding, Fengling Zhuo, Yang Yang, Yiran Xie, Xuefeng Hu, Lufeng Che

Inhaltsangabe: “… . However, current emerging HCI faces challenges with not supporting complete 128 ASCII codes …”
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Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic? von Döderlein, Jean-Baptiste, Kouadio, Nguessan Hermann, Acher, Mathieu, Khelladi, Djamel Eddine, Combemale, Benoit

Inhaltsangabe: “… engineering, they recently gained attention in code assistants, which generate programs from a natural …”
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Multi-compartment Neuron and Population Encoding Powered Spiking Neural Network for Deep Distributional Reinforcement Learning von Sun, Yinqian, Zhao, Feifei, Zhao, Zhuoya, Zeng, Yi

Inhaltsangabe: “… -inspired deep distributional reinforcement learning algorithm based on SNNs, which integrates a bio …”
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Progressive Energy-Based Cooperative Learning for Multi-Domain Image-to-Image Translation von Song, Weinan, Zhu, Yaxuan, He, Lei, Wu, Yingnian, Xie, Jianwen

Inhaltsangabe: “… output image of the target domain according to a style code, which can be inferred by the style encoder …”
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VPRTempo: A Fast Temporally Encoded Spiking Neural Network for Visual Place Recognition von Hines, Adam D., Stratton, Peter G., Milford, Michael, Fischer, Tobias

Inhaltsangabe: “… realism for efficiency. VPRTempo employs a temporal code that determines the timing of a single spike …”
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SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models von Klu, Emmanuel, Sethi, Sameer, Passey, DJ, Martin Jr, Donald

Inhaltsangabe: “… Understanding the long-term impact of algorithmic interventions on society is vital to achieving …”
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Eureka: Human-Level Reward Design via Coding Large Language Models von Ma, Yecheng Jason, Liang, William, Wang, Guanzhi, Huang, De-An, Bastani, Osbert, Jayaraman, Dinesh, Zhu, Yuke, Fan, Linxi, Anandkumar, Anima

Inhaltsangabe: “… -level reward design algorithm powered by LLMs. Eureka exploits the remarkable zero-shot generation, code …”
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PerfRL: A Small Language Model Framework for Efficient Code Optimization von Duan, Shukai, Kanakaris, Nikos, Xiao, Xiongye, Ping, Heng, Zhou, Chenyu, Ahmed, Nesreen K., Ma, Guixiang, Capota, Mihai, Willke, Theodore L., Nazarian, Shahin, Bogdan, Paul

Inhaltsangabe: “… and artificial intelligence techniques to automate the code optimization process. In this paper, we introduce …”
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Application of performance portability solutions for GPUs and many-core CPUs to track reconstruction kernels von Kwok, Ka Hei Martin, Kortelainen, Matti, Cerati, Giuseppe, Strelchenko, Alexei, Gutsche, Oliver, Hall, Allison Reinsvold, Lantz, Steve, Reid, Michael, Riley, Daniel, Berkman, Sophie, Lee, Seyong, Ather, Hammad, Norris, Boyana, Wang, Cong

Inhaltsangabe: “… languages promoted by the hardware vendors and hence limit the set of platforms that the code can run …”
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Neural Circuit Diagrams: Robust Diagrams for the Communication, Implementation, and Analysis of Deep Learning Architectures von Abbott, Vincent

Inhaltsangabe: “… structure is analogous to code, creating a close correspondence between diagrams and implementation …”
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Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences von Shankar, Shreya, Zamfirescu-Pereira, J. D., Hartmann, Björn, Parameswaran, Aditya G., Arawjo, Ian

Inhaltsangabe: “… Due to the cumbersome nature of human evaluation and limitations of code-based evaluation, Large …”
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Unraveling cell-cell communication with NicheNet by inferring active ligands from transcriptomics data von Sang-aram, Chananchida, Browaeys, Robin, Seurinck, Ruth, Saeys, Yvan

Inhaltsangabe: “… delves into the algorithm and validation, this paper describes a best practices workflow cultivated over …”
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PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property Generation von Liu, Ye, Xue, Yue, Wu, Daoyuan, Sun, Yuqiang, Li, Yi, Shi, Miaolei, Liu, Yang

Inhaltsangabe: “… from Certora auditing reports) and automatically generate customized properties for unknown code …”
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Massive Digital Over-the-Air Computation for Communication-Efficient Federated Edge Learning von Qiao, Li, Gao, Zhen, Mashhadi, Mahdi Boloursaz, Gündüz, Deniz

Inhaltsangabe: “… message passing-based algorithm to compute the model aggregation results from the superposed sequences …”
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Second 6G life Workshop on Post Shannon Theory von Zhao, Yaning, Deppe, Christian

Inhaltsangabe: “… methods and algorithms for identifying data or signals deterministically and through randomized processes …”
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