Suchergebnisse - coding (Algorithmsssssic OR (algorithm OR (algorithmssics OR algorithmssics)))

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models von Chae, Hyungjoo, Kim, Yeonghyeon, Kim, Seungone, Ong, Kai Tzu-iunn, Kwak, Beong-woo, Kim, Moohyeon, Kim, Seonghwan, Kwon, Taeyoon, Chung, Jiwan, Yu, Youngjae, Yeo, Jinyoung

Inhaltsangabe: “… and decompose them into a sequence of reasoning steps towards the solution. Such nature of algorithmic reasoning …”
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RTLRewriter: Methodologies for Large Models aided RTL Code Optimization von Yao, Xufeng, Wang, Yiwen, Li, Xing, Lian, Yingzhao, Chen, Ran, Chen, Lei, Yuan, Mingxuan, Xu, Hong, Yu, Bei

Inhaltsangabe: “… to identify useful optimization guides, algorithms, and code snippets that enhance the model ability …”
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The Learning Stabilizers with Noise problem von Poremba, Alexander, Quek, Yihui, Shor, Peter

Inhaltsangabe: “… Random classical codes have good error correcting properties, and yet they are notoriously hard …”
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ProBench: Benchmarking Large Language Models in Competitive Programming von Yang, Lei, Jin, Renren, Shi, Ling, Peng, Jianxiang, Chen, Yue, Xiong, Deyi

Inhaltsangabe: “… (LLMs) have entered a new phase of development. However, existing benchmarks for coding evaluation …”
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Geometry- and Topology-Informed Quantum Computing: From States to Real-Time Control with FPGA Prototypes von Cho, Gunhee

Inhaltsangabe: “… -qubit structure and entanglement as geometry and computation, including teleportation, superdense coding …”
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Sorting and Ranking of Self-Delimiting Numbers with Applications to Outerplanar Graph Isomorphism von Kammer, Frank, Meintrup, Johannes, Sajenko, Andrej

Inhaltsangabe: “… Assume that an $N$-bit sequence $S$ of $k$ numbers encoded as Elias gamma codes is given as input …”
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Noisy Sorting Capacity von Wang, Ziao, Ghaddar, Nadim, Zhu, Banghua, Wang, Lele

Inhaltsangabe: “… coding with feedback. Compared with existing methods, the proposed algorithms are universal in the sense …”
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Point Tracking in Surgery--The 2024 Surgical Tattoos in Infrared (STIR) Challenge von Schmidt, Adam, Karaoglu, Mert Asim, Sinha, Soham, Jang, Mingang, Ha, Ho-Gun, Jung, Kyungmin, Gu, Kyeongmo, Ullah, Ihsan, Lee, Hyunki, Šerých, Jonáš, Neoral, Michal, Matas, Jiří, Zhou, Rulin, He, Wenlong, Wang, An, Ren, Hongliang, Silva, Bruno, Queirós, Sandro, Lima, Estêvão, Vilaça, João L., Kikuchi, Shunsuke, Kouno, Atsushi, Matsuzaki, Hiroki, Li, Tongtong, Chen, Yulu, Li, Ling, Ma, Xiang, Li, Xiaojian, Zeinoddin, Mona Sheikh, Wang, Xu, Tandogdu, Zafer, Shaw, Greg, Mazomenos, Evangelos, Stoyanov, Danail, Chen, Yuxin, Wu, Zijian, Ladikos, Alexander, DiMaio, Simon, Salcudean, Septimiu E., Mohareri, Omid

Inhaltsangabe: “… autonomy. Labeled data are essential to enabling algorithms in these downstream tasks since they allow us …”
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P‐5.24: A Lossless Image Compression LZW Algorithm Based on Double Hash Dictionary von Xiaobo Huang, Limin Yan

Inhaltsangabe: “… , the LZW (Lempel‐Ziv‐Welch) algorithm is widely used due to its high adaptability and coding efficiency …”
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MFH: A Multi-faceted Heuristic Algorithm Selection Approach for Software Verification von Su, Jie, Deng, Liansai, Wen, Cheng, Wang, Rong, Ma, Zhi, Zhang, Nan, Tian, Cong, Duan, Zhenhua, Qin, Shengchao

Inhaltsangabe: “… Currently, many verification algorithms are available to improve the reliability of software …”
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Unraveling the Rainbow: can value-based methods schedule? von Corrêa, Arthur, Jesus, Alexandre, Nascimento, Paulo, Silva, Cristóvão, Moniz, Samuel

Inhaltsangabe: “… algorithms on two challenging combinatorial optimization problems: the job-shop and flexible job-shop …”
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Syndrome decoding by quantum approximate optimization von Lai, Ching-Yi, Kuo, Kao-Yueh, Liao, Bo-Jyun

Inhaltsangabe: “… the quantum approximate optimization algorithm (QAOA) to address the syndrome decoding problem with elegantly …”
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3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing von Li, Haoran, Ma, Long, Shi, Haolin, Hao, Yanbin, Liao, Yong, Cheng, Lechao, Zhou, Pengyuan

Inhaltsangabe: “… , we use a round-robin optimization algorithm to get precise codes to reconstruct the image …”
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Refactoring Deep Learning Code: A Study of Practices and Unsatisfied Tool Needs von Wang, Siqi, Hu, Xing, Wang, Bei, Yao, Wenxin, Xia, Xin, Wang, Xinyu

Inhaltsangabe: “… With the rapid development of deep learning, the implementation of intricate algorithms …”
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MapCoder: Multi-Agent Code Generation for Competitive Problem Solving von Islam, Md. Ashraful, Ali, Mohammed Eunus, Parvez, Md Rizwan

Inhaltsangabe: “… descriptions, generation of code instructions for complex algorithms and data structures, and the successful …”
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From Code to Correctness: Closing the Last Mile of Code Generation with Hierarchical Debugging von Shi, Yuling, Wang, Songsong, Wan, Chengcheng, Wang, Min, Gu, Xiaodong

Inhaltsangabe: “… While large language models have made significant strides in code generation, the pass rate …”
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CODESIM: Multi-Agent Code Generation and Problem Solving through Simulation-Driven Planning and Debugging von Islam, Md. Ashraful, Ali, Mohammed Eunus, Parvez, Md Rizwan

Inhaltsangabe: “… Large Language Models (LLMs) have made significant strides in code generation and problem solving …”
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DiffBench Meets DiffAgent: End-to-End LLM-Driven Diffusion Acceleration Code Generation von jiao, Jiajun, Zhu, Haowei, Yang, Puyuan, Wang, Jianghui, Liu, Ji, Liu, Ziqiong, Li, Dong, Fang, Yuejian, Yong, Junhai, Wang, Bin, Barsoum, Emad

Inhaltsangabe: “… debugging component iteratively refine the output of a code generation component, while a genetic algorithm …”
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Reliable Reasoning in SVG-LLMs via Multi-Task Multi-Reward Reinforcement Learning von Wang, Haomin, Wei, Qi, Ma, Qianli, Ding, Shengyuan, Yin, Jinhui, Chen, Kai, Zhang, Hongjie

Inhaltsangabe: “… , redundant paths in code outputs, and a lack of explicit reasoning. In this work, we present CTRL-S (Chain …”
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Investigating Permutation-Invariant Discrete Representation Learning for Spatially Aligned Images von Stirling, Jamie S. J., Al-Moubayed, Noura, Shum, Hubert P. H.

Inhaltsangabe: “… , but these representations are inherently position-dependent: codes are spatially arranged and contextually entangled …”
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