Risultati della ricerca - coding (algorithm OR (algorithmics OR (algorithmssics OR Algorithmsssics)))

Accelerating high-order continuum kinetic plasma simulations using multiple GPUs di Ho, Andrew, Vogman, Genia

Sommario: “... are then used to inform and evaluate the design of performance portable algorithms for a multiple graphics...”
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GraphTeam: Facilitating Large Language Model-based Graph Analysis via Multi-Agent Collaboration di Li, Xin, Chu, Qizhi, Chen, Yubin, Liu, Yang, Liu, Yaoqi, Yu, Zekai, Chen, Weize, Qian, Chen, Shi, Chuan, Yang, Cheng

Sommario: “... algorithms via programming to generate solutions, and in case the coding agent does not work, the reasoning...”
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When Fine-Tuning LLMs Meets Data Privacy: An Empirical Study of Federated Learning in LLM-Based Program Repair di Luo, Wenqiang, Keung, Jacky Wai, Yang, Boyang, Ye, He, Goues, Claire Le, Bissyande, Tegawende F., Tian, Haoye, Le, Bach

Sommario: “... fixing. However, LLM-based APR heavily relies on high-quality code repositories. A larger portion...”
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Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval di Pang, Ming, Yuan, Chunyuan, He, Xiaoyu, Fang, Zheng, Xie, Donghao, Qu, Fanyi, Jiang, Xue, Peng, Changping, Lin, Zhangang, Law, Ching, Shao, Jingping

Sommario: “... numerous attributes, these algorithms generate a large number of identifiers, making it difficult to assess...”
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Generalized Restart Mechanism for Successive-Cancellation Flip Decoding of Polar Codes di Sagitov, Ilshat, Pillet, Charles, Balatsoukas-Stimming, Alexios, Giard, Pascal

Sommario: “...Polar codes are a class of linear error-correction codes that have received a lot of attention due...”
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Design and Application of Multimodal Large Language Model Based System for End to End Automation of Accident Dataset Generation di Chowdhury, MD Thamed Bin Zaman, Hossain, Moazzem

Sommario: “... consists of four components: automated web scraping code generation, news collection from online sources...”
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Rewriting Pre-Training Data Boosts LLM Performance in Math and Code di Fujii, Kazuki, Tajima, Yukito, Mizuki, Sakae, Kawamura, Masaki, Shimada, Hinari, Shiotani, Taihei, Saito, Koshiro, Oi, Masanari, Nakamura, Taishi, Okamoto, Takumi, Ishida, Shigeki, Hattori, Kakeru, Ma, Youmi, Takamura, Hiroya, Yokota, Rio, Sakuma, Jun, Okazaki, Naoaki

Sommario: “... into self-contained, algorithmically efficient examples. Unlike prior methods that rely on exclusionary...”
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Hallucination to Consensus: Multi-Agent LLMs for End-to-End JUnit Test Generation di Xu, Qinghua, Wang, Guancheng, Briand, Lionel, Liu, Kui

Sommario: “... for automated approaches. Traditional methods primarily rely on search-based or randomized algorithms to achieve...”
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Efficient dataset construction using active learning and uncertainty-aware neural networks for plasma turbulent transport surrogate models di Ho, Aaron, Zanisi, Lorenzo, de Leeuw, Bram, Galvan, Vincent, Rodriguez-Fernandez, Pablo, Howard, Nathaniel T.

Sommario: “... as a proxy for more expensive codes, such as CGYRO or GENE. The newly implemented algorithm uses...”
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Reversible Video Steganography Using Quick Response Codes and Modified ElGamal Cryptosystem di Mstafa, Ramadhan J.

Sommario: “... the modified ElGamal algorithm to encrypt secret QR codes. Concurrently, it applies two-dimensional DWT...”
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Trace-Based Reconstruction of Quantum Circuit Dataflow in Surface Codes di Trochatos, Theodoros, Kang, Christopher, Wang, Andrew, Chong, Frederic T., Szefer, Jakub

Sommario: “... correction. A promising quantum error-correcting code for large-scale quantum computing is the surface code...”
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ImportSnare: Directed "Code Manual" Hijacking in Retrieval-Augmented Code Generation di Ye, Kai, Su, Liangcai, Qian, Chenxiong

Sommario: “... and algorithmic logic often results in functional deficiencies and security vulnerabilities in generated code...”
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LLM Priors for ERM over Programs di Singhal, Shivam, Mishra, Priyadarsi, Malach, Eran, Galanti, Tomer

Sommario: “... piece of ``Python code''), it can be learned from relatively few examples by performing ERM over...”
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Error-structure-tailored early fault-tolerant quantum computing di Zeng, Pei, Zheng, Guo, Xu, Qian, Jiang, Liang

Sommario: “... prohibitively large. A critical challenge arises in many quantum algorithms with Clifford + $φ$ compiling, where...”
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HPRMAT: A high-performance R-matrix solver with GPU acceleration for coupled-channel problems in nuclear physics di Lei, Jin

Sommario: “... for the linear algebra routines in existing R-matrix codes, HPRMAT employs direct linear equation solving...”
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Can LLMs Beat Classical Hyperparameter Optimization Algorithms? A Study on autoresearch di Ferreira, Fabio, Wobbe, Lucca, Krishnakumar, Arjun, Hutter, Frank, Zela, Arber

Sommario: “... code directly. We use it as a testbed to compare classical HPO algorithms against LLM-based methods...”
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QASM-Eval: A Dataset to Train and Evaluate LLMs on OpenQASM-3 Beyond Quantum Circuits di Fu, Zhenxiao, Jiang, Lei, Chen, Fan

Sommario: “... in code generation, there is still no dataset specifically designed to train and evaluate LLMs on OpenQASM...”
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Detecting and Reacting to Data-Drift in Streaming Optimisation Domains - Code and Data di Anonymous

Sommario: “...<p>This repository contains the code and data for reproducibility of the paper 'Detecting...”
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HW-NAS-Bench:Hardware-Aware Neural Architecture Search Benchmark di Li, Chaojian, Yu, Zhongzhi, Fu, Yonggan, Zhang, Yongan, Zhao, Yang, You, Haoran, Yu, Qixuan, Wang, Yue, Lin, Yingyan Celine

Sommario: “...-disciplinary knowledge in the algorithm, micro-architecture, and device-specific compilation. First...”
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Learning Delays in Spiking Neural Networks using Dilated Convolutions with Learnable Spacings di Hammouamri, Ilyass, Khalfaoui-Hassani, Ismail, Masquelier, Timothée

Sommario: “... the expressivity in SNNs. Yet, efficient algorithms to learn these delays have been lacking. Here, we propose a new...”
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