Risultati della ricerca - coding (algorithmssics OR (algorithm OR (algorithmsssssics OR (algorithm OR algorithm))))

BaxBench: Can LLMs Generate Correct and Secure Backends? di Vero, Mark, Mündler, Niels, Chibotaru, Victor, Raychev, Veselin, Baader, Maximilian, Jovanović, Nikola, He, Jingxuan, Vechev, Martin

Sommario: “..., make code edits, and solve algorithmic coding tasks. However, to achieve full automation, LLMs should...”
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Graph-based Complexity and Computational Capabilites of Proteinoid Spike Systems di Sharma, Saksham, Mahmud, Adnan, Tarabella, Giuseppe, Mougoyannis, Panagiotis, Adamatzky, Andrew

Sommario: “... information-theoretic, computational code. This code, for instance, can be expressed in the (digital) language...”
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Agent RL Scaling Law: Agent RL with Spontaneous Code Execution for Mathematical Problem Solving di Mai, Xinji, Xu, Haotian, Li, Zhong-Zhi, W, Xing, Wang, Weinong, Hu, Jian, Zhang, Yingying, Zhang, Wenqiang

Sommario: “... reasoning, understanding how agents autonomously learn to leverage external tools like code execution...”
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Code2Bench: Scaling Source and Rigor for Dynamic Benchmark Construction di Zhang, Zhe, Liu, Runlin, Liu, Aishan, Liu, Xingyu, Gao, Xiang, Sun, Hailong

Sommario: “...The evaluation of code-generating Large Language Models (LLMs) is fundamentally constrained by two...”
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Universal Maximum Likelihood (List) Decoding via Fast Vector-Matrix Multiplication di Ly, Hoang, Soljanin, Emina, Schleppy, Michael

Sommario: “...Maximum-likelihood (ML) decoding for arbitrary block codes remains fundamentally hard, with worst...”
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Entity -- Hardware-agnostic Particle-in-Cell Code for Plasma Astrophysics. I: Curvilinear Special Relativistic Module di Hakobyan, Hayk, Böss, Ludwig M., Cai, Yangyang, Chernoglazov, Alexander, Galishnikova, Alisa, Gorbunov, Evgeny A., Mahlmann, Jens F., Philippov, Alexander, Solanki, Siddhant, Vanthieghem, Arno, Zhou, Muni

Sommario: “...Entity is a new-generation, fully open-source particle-in-cell (PIC) code developed to overcome key...”
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BRIDGE: Building Representations In Domain Guided Program Synthesis di George, Robert Joseph, Eisenach, Carson, Ghai, Udaya, Perrault-Joncas, Dominique, Anandkumar, Anima, Foster, Dean

Sommario: “...Large language models can generate plausible code, but remain brittle for formal verification...”
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CliffSearch: Structured Agentic Co-Evolution over Theory and Code for Scientific Algorithm Discovery di Mroueh, Youssef, Fonseca, Carlos, Belgodere, Brian, Cox, David

Sommario: “...Scientific algorithm discovery is iterative: hypotheses are proposed, implemented, stress-tested...”
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Beam Scanning with Ultra‐Low Sidelobes and In‐Band Ultra‐Low Scattering Characteristics Empowered by Single Space‐Time‐Coding Radiation‐Scattering Metasurface di Lixin Jiang, Yongfeng Li, Hao Yang, Mingbao Yan, Jinming Jiang, Yunwei Zhang, Zhe Qin, Wanwan Yang, Hongya Chen, Yongqiang Pang, Zhihao Guo, Lin Zheng, Jiafu Wang, Shaobo Qu

Sommario: “... strategy that realizes space‐time coding of radiation scattering within the same frequency band, which...”
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Learning the sparse prior: Modern approaches di Guan‐Ju Peng

Sommario: “... by solving the sparse coding problem specified by the data model. This article presents a comprehensive...”
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A Markov Chain Monte Carlo Method for Efficient Finite-Length LDPC Code Design di Tanrıkulu, Ata, Yıldırım, Mete, Hareedy, Ahmed

Sommario: “...-LDPC codes with excellent performance. Efficient finite-length (FL) algorithms are required in order...”
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Efficient Black-Box Fault Localization for System-Level Test Code Using Large Language Models di Yaraghi, Ahmadreza Saboor, Gharachorlu, Golnaz, Fatima, Sakina, Briand, Lionel C., Wan, Ruiyuan, Gao, Ruifeng

Sommario: “...'s execution trace through three novel algorithms that identify only code statements likely involved...”
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Lottery BP: Unlocking Quantum Error Decoding at Scale di Zhu, Yanzhang, Peng, Chen-Yu, Chen, Yun Hao, Ueng, Yeong-Luh, Wu, Di

Sommario: “... motivates this paper. Existing decoding algorithms (decoders), such as clustering, matching, belief...”
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pyC$^2$Ray: A flexible and GPU-accelerated Radiative Transfer Framework for Simulating the Cosmic Epoch of Reionization di Hirling, Patrick, Bianco, Michele, Giri, Sambit K., Iliev, Ilian T., Mellema, Garrelt, Kneib, Jean-Paul

Sommario: “...). Numerical radiative transfer codes provide the most physically accurate models of the reionization process...”
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Post-Incorporating Code Structural Knowledge into Pretrained Models via ICL for Code Translation di Du, Yali, Sun, Hui, Li, Ming

Sommario: “... structure of source code remains a challenge. Classic syntax-aware methods depend on intricate model...”
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Thyme: Think Beyond Images di Zhang, Yi-Fan, Lu, Xingyu, Yin, Shukang, Fu, Chaoyou, Chen, Wei, Hu, Xiao, Wen, Bin, Jiang, Kaiyu, Liu, Changyi, Zhang, Tianke, Fan, Haonan, Chen, Kaibing, Chen, Jiankang, Ding, Haojie, Tang, Kaiyu, Zhang, Zhang, Wang, Liang, Yang, Fan, Gao, Tingting, Zhou, Guorui

Sommario: “... and simultaneously enhance logical reasoning capabilities through code. In this paper, we make a preliminary attempt...”
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SynthCoder: A Synthetical Strategy to Tune LLMs for Code Completion di Yu, Dongjun, Yan, Xiao, Li, Zhenrui, Xiao, Jipeng, He, Haochuan, Yu, Yongda, Zhang, Hao, Rong, Guoping, Huang, Xiaobo

Sommario: “... information using the BM25 algorithm and call graphs, enhancing the model's ability to perform code completion...”
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rStar2-Agent: Agentic Reasoning Technical Report di Shang, Ning, Liu, Yifei, Zhu, Yi, Zhang, Li Lyna, Xu, Weijiang, Guan, Xinyu, Zhang, Buze, Dong, Bingcheng, Zhou, Xudong, Zhang, Bowen, Xin, Ying, Miao, Ziming, Li, Scarlett, Yang, Fan, Yang, Mao

Sommario: “... behaviors, such as thinking carefully before using Python coding tools and reflecting on code execution...”
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Toward Uncertainty-Aware and Generalizable Neural Decoding for Quantum LDPC Codes di Mi, Xiangjun, Mueller, Frank

Sommario: “... conventional algorithms result in limited accuracy (i.e., suppression of logical errors) and high overheads...”
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Efficient Vector Symbolic Architectures from Histogram Recovery di Deng, Zirui, Raviv, Netanel

Sommario: “... intelligence (AI) systems and hardware systems. Recently, Raviv proposed the use of random linear codes in VSAs...”
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