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

Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models di 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

Sommario: “... 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 di Yao, Xufeng, Wang, Yiwen, Li, Xing, Lian, Yingzhao, Chen, Ran, Chen, Lei, Yuan, Mingxuan, Xu, Hong, Yu, Bei

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

Sommario: “...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 di Yang, Lei, Jin, Renren, Shi, Ling, Peng, Jianxiang, Chen, Yue, Xiong, Deyi

Sommario: “... (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 di Cho, Gunhee

Sommario: “...-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 di Kammer, Frank, Meintrup, Johannes, Sajenko, Andrej

Sommario: “...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 di Wang, Ziao, Ghaddar, Nadim, Zhu, Banghua, Wang, Lele

Sommario: “... 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 di 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

Sommario: “... 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 di Xiaobo Huang, Limin Yan

Sommario: “..., 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 di Su, Jie, Deng, Liansai, Wen, Cheng, Wang, Rong, Ma, Zhi, Zhang, Nan, Tian, Cong, Duan, Zhenhua, Qin, Shengchao

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

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

Sommario: “... 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 di Li, Haoran, Ma, Long, Shi, Haolin, Hao, Yanbin, Liao, Yong, Cheng, Lechao, Zhou, Pengyuan

Sommario: “..., 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 di Wang, Siqi, Hu, Xing, Wang, Bei, Yao, Wenxin, Xia, Xin, Wang, Xinyu

Sommario: “...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 di Islam, Md. Ashraful, Ali, Mohammed Eunus, Parvez, Md Rizwan

Sommario: “... 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 di Shi, Yuling, Wang, Songsong, Wan, Chengcheng, Wang, Min, Gu, Xiaodong

Sommario: “...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 di Islam, Md. Ashraful, Ali, Mohammed Eunus, Parvez, Md Rizwan

Sommario: “...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 di jiao, Jiajun, Zhu, Haowei, Yang, Puyuan, Wang, Jianghui, Liu, Ji, Liu, Ziqiong, Li, Dong, Fang, Yuejian, Yong, Junhai, Wang, Bin, Barsoum, Emad

Sommario: “... 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 di Wang, Haomin, Wei, Qi, Ma, Qianli, Ding, Shengyuan, Yin, Jinhui, Chen, Kai, Zhang, Hongjie

Sommario: “..., 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 di Stirling, Jamie S. J., Al-Moubayed, Noura, Shum, Hubert P. H.

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