Suchergebnisse - coding (algorithmicics OR (algorithm OR (algorithm OR algorithm)))

BATSRUS GPU: Faster-than-Real-Time Magnetospheric Simulations with a Block-Adaptive Grid Code von An, Yifu, Chen, Yuxi, Zhou, Hongyang, Gaenko, Alexander, Tóth, Gábor

Inhaltsangabe: “… BATSRUS, our state-of-the-art extended magnetohydrodynamic code, is the most used and one …”
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Game of Coding With an Unknown Adversary von Akbarinodehi, Hanzaleh, Moradi, Parsa, Maddah-Ali, Mohammad Ali

Inhaltsangabe: “… Motivated by emerging decentralized applications, the \emph{game of coding} framework has been …”
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A fast and memoryless numerical method for solving fractional differential equations von Guglielmi, Nicola, Hairer, Ernst

Inhaltsangabe: “… integrators has been largely investigated and there exist many excellent efficient codes available …”
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Explainer-guided Targeted Adversarial Attacks against Binary Code Similarity Detection Models von Chen, Mingjie, Zhu, Tiancheng, Zhang, Mingxue, He, Yiling, Lin, Minghao, Li, Penghui, Ren, Kui

Inhaltsangabe: “… mainly relied on heuristic criteria or iterative greedy algorithms to locate salient code influencing …”
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DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving von Zhang, Zhihao, Li, Siyuan, Li, Chenxi, Liu, Feifan, Chen, Mengjing, Li, Kai, Zhong, Tao, An, Bo, Liu, Peng

Inhaltsangabe: “… (MILP) solvers. As large language models (LLMs) have demonstrated superior code generation abilities …”
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Re-evaluating LLM-based Heuristic Search: A Case Study on the 3D Packing Problem von Quan, Guorui, Sun, Mingfei, López-Ibáñez, Manuel

Inhaltsangabe: “… (LLMs) can generate code for search heuristics, their application has largely been confined to adjusting …”
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How Small Transformation Expose the Weakness of Semantic Similarity Measures von Nikiema, Serge Lionel, Djire, Albérick Euraste, Bonkoungou, Abdoul Aziz, Moumoula, Micheline Bénédicte, Samhi, Jordan, Kabore, Abdoul Kader, Klein, Jacques, Bissyande, Tegawendé F.

Inhaltsangabe: “… for various software engineering applications such as code search, API recommendations, automated code reviews …”
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MEC$^3$O: Multi-Expert Consensus for Code Time Complexity Prediction von Hahn, Joonghyuk, Lim, Soohan, Han, Yo-Sub

Inhaltsangabe: “… Predicting the complexity of source code is essential for software development and algorithm …”
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Reasoning Distillation and Structural Alignment for Improved Code Generation von Jalilifard, Amir, Rocha, Anderson de Rezende, Raimundo, Marcos Medeiros

Inhaltsangabe: “… understanding the intent of the prompt and generating code that applies algorithmic reasoning to produce correct …”
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InnovatorBench: Evaluating Agents' Ability to Conduct Innovative LLM Research von Wu, Yunze, Fu, Dayuan, Si, Weiye, Huang, Zhen, Jiang, Mohan, Li, Keyu, Xia, Shijie, Sun, Jie, Xu, Tianze, Hu, Xiangkun, Lu, Pengrui, Cai, Xiaojie, Ye, Lyumanshan, Zhu, Wenhong, Xiao, Yang, Liu, Pengfei

Inhaltsangabe: “… models show promise in code-driven research tasks, they struggle with fragile algorithm-related tasks …”
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Reinforcement Learning Control of Quantum Error Correction von Sivak, Volodymyr, Morvan, Alexis, Broughton, Michael, Cortiñas, Rodrigo G., Bausch, Johannes, Senior, Andrew W., Neeley, Matthew, Eickbusch, Alec, Shutty, Noah, Beni, Laleh Aghababaie, Spencer, James S., Heras, Francisco J. H, Edlich, Thomas, Abanin, Dmitry, Abbas, Amira, Acharya, Rajeev, Aigeldinger, Georg, Alcaraz, Ross, Alcaraz, Sayra, Andersen, Trond I., Ansmann, Markus, Arute, Frank, Arya, Kunal, Askew, Walt, Astrakhantsev, Nikita, Atalaya, Juan, Ballard, Brian, Bardin, Joseph C., Bates, Hector, Bengtsson, Andreas, Karimi, Majid Bigdeli, Bilmes, Alexander, Bilodeau, Simon, Borjans, Felix, Bourassa, Alexandre, Bovaird, Jenna, Bowers, Dylan, Brill, Leon, Brooks, Peter, Browne, David A., Buchea, Brett, Buckley, Bob B., Burger, Tim, Burkett, Brian, Bushnell, Nicholas, Busnaina, Jamal, Cabrera, Anthony, Campero, Juan, Chang, Hung-Shen, Chen, Silas, Chiaro, Ben, Chih, Liang-Ying, Cleland, Agnetta Y., Cochrane, Bryan, Cockrell, Matt, Cogan, Josh, Collins, Roberto, Conner, Paul, Cook, Harold, Courtney, William, Crook, Alexander L., Curtin, Ben, Damyanov, Martin, Das, Sayan, Debroy, Dripto M., Demura, Sean, Donohoe, Paul, Drozdov, Ilya, Dunsworth, Andrew, Ehimhen, Valerie, Elbag, Aviv Moshe, Ella, Lior, Elzouka, Mahmoud, Enriquez, David, Erickson, Catherine, Ferreira, Vinicius S., Flores, Marcos, Burgos, Leslie Flores, Forati, Ebrahim, Ford, Jeremiah, Fowler, Austin G., Foxen, Brooks, Fukami, Masaya, Fung, Alan Wing Lun, Fuste, Lenny, Ganjam, Suhas, Garcia, Gonzalo, Garrick, Christopher, Gasca, Robert, Gehring, Helge, Geiger, Robert, Genois, Élie, Giang, William, Gilboa, Dar, Goeders, James E., Gonzales, Edward C., Gosula, Raja, de Graaf, Stijn J., Dau, Alejandro Grajales, Graumann, Dietrich, Grebel, Joel, Greene, Alex, Gross, Jonathan A., Guerrero, Jose, Guevel, Loïck Le, Ha, Tan, Habegger, Steve, Hadick, Tanner, Hadjikhani, Ali, Hamilton, Michael C., Harrigan, Matthew P., Harrington, Sean D., Hartshorn, Jeanne, Heslin, Stephen, Heu, Paula, Higgott, Oscar, Hiltermann, Reno, Huang, Hsin-Yuan, Hucka, Mike, Hudspeth, Christopher, Huff, Ashley, Huggins, William J., Jeffrey, Evan, Jevons, Shaun, Jiang, Zhang, Jin, Xiaoxuan, Joshi, Chaitali, Juhas, Pavol, Kabel, Andreas, Kafri, Dvir, Kang, Hui, Kang, Kiseo, Karamlou, Amir H., Kaufman, Ryan, Kechedzhi, Kostyantyn, Khattar, Tanuj, Khezri, Mostafa, Kim, Seon, Knaut, Can M., Kobrin, Bryce, Kostritsa, Fedor, Kreikebaum, John Mark, Kudo, Ryuho, Kueffler, Ben, Kumar, Arun, Kurilovich, Vladislav D., Kutsko, Vitali, Lacroix, Nathan, Landhuis, David, Lange-Dei, Tiano, Langley, Brandon W., Laptev, Pavel, Lau, Kim-Ming, Ledford, Justin, Lee, Joy, Lee, Kenny, Lester, Brian J., Leung, Wendy, Li, Lily, Li, Wing Yan, Li, Ming, Lill, Alexander T., Livingston, William P., Lloyd, Matthew T., Locharla, Aditya, De Lorenzo, Laura, Lundahl, Daniel, Lunt, Aaron, Madhuk, Sid, Maiti, Aniket, Maloney, Ashley, Mandrà, Salvatore, Martin, Leigh S., Martin, Orion, Mascot, Eric, Das, Paul Masih, Maslov, Dmitri, Mathews, Melvin, Maxfield, Cameron, McClean, Jarrod R., McEwen, Matt, Meeks, Seneca, Miao, Kevin C., Minev, Zlatko K., Molavi, Reza, Molina, Sebastian, Montazeri, Shirin, Neill, Charles, Newman, Michael, Nguyen, Anthony, Nguyen, Murray, Ni, Chia-Hung, Niu, Murphy Yuezhen, Oas, Logan, Orosco, Raymond, Ottosson, Kristoffer, Pagano, Alice, Di Paolo, Agustin, Peek, Sherman, Peterson, David, Pizzuto, Alex, Portoles, Elias, Potter, Rebecca, Pritchard, Orion, Qian, Michael, Quintana, Chris, Ranadive, Arpit, Reagor, Matthew J., Resnick, Rachel, Rhodes, David M., Riley, Daniel, Roberts, Gabrielle, Rodriguez, Roberto, Ropes, Emma, De Rose, Lucia B., Rosenberg, Eliott, Rosenfeld, Emma, Rosenstock, Dario, Rossi, Elizabeth, Roushan, Pedram, Rower, David A., Salazar, Robert, Sankaragomathi, Kannan, Sarihan, Murat Can, Satzinger, Kevin J., Schaefer, Max, Schroeder, Sebastian, Schurkus, Henry F., Shahingohar, Aria, Shearn, Michael J., Shorter, Aaron, Shvarts, Vladimir, Small, Spencer, Smith, W. Clarke, Sobel, David A., Spells, Barrett, Springer, Sofia, Sterling, George, Suchard, Jordan, Szasz, Aaron, Sztein, Alexander, Taylor, Madeline, Thiruraman, Jothi Priyanka, Thor, Douglas, Timucin, Dogan, Tomita, Eifu, Torres, Alfredo, Torunbalci, M. Mert, Tran, Hao, Vaishnav, Abeer, Vargas, Justin, Vdovichev, Sergey, Vidal, Guifre, Heidweiller, Catherine Vollgraff, Voorhees, Meghan, Waltman, Steven, Waltz, Jonathan, Wang, Shannon X., Ware, Brayden, Watson, James D., Wei, Yonghua, Weidel, Travis, White, Theodore, Wong, Kristi, Woo, Bryan W. K., Wood, Christopher J., Woodson, Maddy, Xing, Cheng, Yao, Z. Jamie, Yeh, Ping, Ying, Bicheng, Yoo, Juhwan, Yosri, Noureldin, Young, Elliot, Young, Grayson, Zalcman, Adam, Zhang, Ran, Zhang, Yaxing, Zhu, Ningfeng, Zobrist, Nicholas, Zou, Zhenjie, Babbush, Ryan, Bacon, Dave, Boixo, Sergio, Chen, Yu, Chen, Zijun, Devoret, Michel, Hansen, Monica, Hilton, Jeremy, Jones, Cody, Kelly, Julian, Korotkov, Alexander N., Lucero, Erik, Megrant, Anthony, Neven, Hartmut, Oliver, William D., Ramachandran, Ganesh, Smelyanskiy, Vadim, Klimov, Paul V.

Inhaltsangabe: “… computation for recalibration, is unsustainable for the long runtimes of the future algorithms. We address …”
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Can LLMs Recover Program Semantics? A Systematic Evaluation with Symbolic Execution von Feng, Rong, Saha, Suman

Inhaltsangabe: “… code often introduce transformations that obscure program intent, existing analysis tools and large …”
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Multiaccess Coded Caching with Heterogeneous Retrieval Costs von Huang, Wenbo, Cheng, Minquan, Wan, Kai, Li, Xiaojun, Qiu, Robert Caiming, Caire, Giuseppe

Inhaltsangabe: “… The multiaccess coded caching (MACC) system, as formulated by Hachem {\it et al.}, consists of a …”
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WirelessAgent++: Automated Agentic Workflow Design and Benchmarking for Wireless Networks von Tong, Jingwen, Li, Zijian, Liu, Fang, Guo, Wei, Zhang, Jun

Inhaltsangabe: “… workflows for various wireless tasks. By treating each workflow as an executable code composed of modular …”
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Secure Network Function Computation for General Target and Security Functions von Zhou, Qin, Fu, Fang-Wei

Inhaltsangabe: “… Secure network function computation is a critical research direction in network coding, which aims …”
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Exploring Pass-Rate Reward in Reinforcement Learning for Code Generation von Li, Xin-Ye, Liu, Ren-Biao, Zhang, Yun-Ji, Sun, Hui, Xie, Zheng, Li, Ming

Inhaltsangabe: “… for improving large language models (LLMs) on code generation. However, the pass-all-tests binary reward can …”
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Book II: The Dey Encoding Scheme: A Formal System for Consciousness Definition Classification von Dey, Prabahan

Inhaltsangabe: “… for the Dey theory framework. It assigns unique numerical codes to consciousness definations based …”
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The Power of Large Language Models for Wireless Communication System Development: A Case Study on FPGA Platforms von Du, Yuyang, Deng, Hongyu, Liew, Soung Chang, Chen, Kexin, Shao, Yulin, Chen, He

Inhaltsangabe: “… to generate hardware description language (HDL) code for simple computation tasks, developing wireless …”
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InterTrans: Leveraging Transitive Intermediate Translations to Enhance LLM-based Code Translation von Macedo, Marcos, Tian, Yuan, Nie, Pengyu, Cogo, Filipe R., Adams, Bram

Inhaltsangabe: “… such as large language models (LLMs), especially open-source LLMs, still struggle with the task. Currently, code …”
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Understanding the Fundamental Design Decisions of Retrieval-Augmented Generation Systems von Zhao, Shengming, Shao, Yuchen, Huang, Yuheng, Song, Jiayang, Wang, Zhijie, Wan, Chengcheng, Ma, Lei

Inhaltsangabe: “… deployment decisions. While existing research prioritizes algorithmic innovations, a systematic gap persists …”
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