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We introduce LeetCodeDataset, a high-quality benchmark for evaluating and training code-generation models, addressing two key challenges in LLM research: the lack of reasoning-focused coding benchmarks and self-contained training testbeds.…

Machine Learning · Computer Science 2025-04-22 Yunhui Xia , Wei Shen , Yan Wang , Jason Klein Liu , Huifeng Sun , Siyue Wu , Jian Hu , Xiaolong Xu

Funded by the UK ExCALIBUR H\&ES exascale programme, in early 2022 a RISC-V testbed for HPC was stood up to provide free access for scientific software developers to experiment with RISC-V for their workloads. Here we report on successes,…

Distributed, Parallel, and Cluster Computing · Computer Science 2023-05-02 Nick Brown , Maurice Jamieson , Joseph K. L. Lee

Radiative transfer simulations are now at the forefront of numerical astrophysics. They are becoming crucial for an increasing number of astrophysical and cosmological problems; at the same time their computational cost has come to the…

A new event visualization tool for the ZEUS experiment is nearing completion, which will provide the functionality required by the new detector components implemented during the recently achieved HERA luminosity upgrade. The new design is…

High Energy Physics - Experiment · Physics 2007-05-23 U. Fricke , C. Genta , O. Gutsche , S. Hanlon , E. Heaphy , R. Kaczorowski , O. Kind , R. Mankel , J. Rautenberg , K. Wrona

The latest generation of radio surveys are now producing sky survey images containing many millions of radio sources. In this context it is highly desirable to understand the performance of radio image source finder (SF) software and to…

Simulation frameworks are important tools for the analysis and design of communication networks and protocols, but they can result extremely costly and/or complex (for the case of very specialized tools), or too naive and lacking proper…

Networking and Internet Architecture · Computer Science 2018-11-21 Iñaki Ucar , José Alberto Hernández , Pablo Serrano , Arturo Azcorra

This paper was prepared by the HEP Software Foundation (HSF) PyHEP Working Group as input to the second phase of the LHCC review of High-Luminosity LHC (HL-LHC) computing, which took place in November, 2021. It describes the adoption of…

Data Analysis, Statistics and Probability · Physics 2022-02-09 Jim Pivarski , Eduardo Rodrigues , Kevin Pedro , Oksana Shadura , Benjamin Krikler , Graeme A. Stewart

The HERA electron--proton collider has collected 100 pb$^{-1}$ of data since its start-up in 1992, and recently moved into a high-luminosity operation mode, with upgraded detectors, aiming to increase the total integrated luminosity per…

High Energy Physics - Phenomenology · Physics 2007-05-23 S. Alekhin , G. Altarelli , N. Amapane , J. Andersen , V. Andreev , M. Arneodo , V. Avati , J. Baines , R. D. Ball , A. Banfi , S. P. Baranov , J. Bartels , O. Behnke , R. Bellan , J. Blumlein , H. Bottcher , S. Bolognesi , M. Boonekamp , D. Bourilkov , J. Bracinik , A. Bruni , G. Bruni , A. Buckley , A. Bunyatyan , C. M. Buttar , J. M. Butterworth , S. Butterworth , M. Cacciari , T. Carli , G. Cerminara , S. Chekanov , M. Ciafaloni , D. Colferai , J. Collins , A. Cooper-Sarkar , G. Corcella , M. Corradi , B. E. Cox , R. Croft , Z. Czyczula , A. Dainese , M. Dasgupta , G. Davatz , L. Del Debbio , Y. Delenda , A. De Roeck , M. Diehl , S. Diglio , G. Dissertori , M. Dittmar , J. Ellis , K. J. Eskola , T. O. Eynck , J. Feltesse , F. Ferro , R. D. Field , J. Forshaw , S. Forte , A. Geiser , S. Gieseke , A. Glazov , T. Gleisberg , P. Golonka , E. Gotsman , G. Grindhammer , M. Grothe , C. Group , M. Groys , A. Guffanti , G. Gustafson , C. Gwenlan , S. Hoche , C. Hogg , J. Huston , G. Iacobucci , G. Ingelman , S. Jadach , H. Jung , J. Kalliopuska , M. Kapishin , B. Kersevan , V. Khoze , M. Klasen , M. Klein , B. A. Kniehl , V. J. Kolhinen , H. Kowalski , G. Kramer , F. Krauss , S. Kretzer , K. Kutak , J. W. Lamsa , L. Lonnblad , T. Lastovicka , G. Lastovicka-Medin , E. Laenen , Th. Lagouri , J. I. Latorre , N. Lavesson , V. Lendermann , E. Levin , A. Levy , A. V. Lipatov , M. Lublinsky , L. Lytkin , T. Maki , L. Magnea , F. Maltoni , M. Mangano , U. Maor , C. Mariotti , N. Marola , A. D. Martin , A. Meyer , S. Moch , J. Monk , A. Moraes , A. Morsch , L. Motyka , E. Naftali , P. Newman , A. Nikitenko , F. Oljemark , R. Orava , M. Ottela , K. Osterberg , K. Peters , F. Petrucci , A. Piccione , A. Pilkington , K. Piotrzkowski , O. I. Piskounova , A. Proskuryakov , A. Prygarin , J. Pumplin , K. Rabbertz , R. Ranieri , V. Ravindran , B. Reisert , E. Richter-Was , L. Rinaldi , P. Robbe , E. Rodrigues , J. Rojo , H. Ruiz , M. Ruspa , M. G. Ryskin , A. Sabio Vera , G. P. Salam , A. Schalicke , S. Schatzel , T. Schorner-Sadenius , I. Schienbein , F-P. Schilling , S. Schumann , M. H. Seymour , F. Siegert , T. Sjostrand , M. Skrzypek , J. Smith , M. Smizanska , H. Spiesberger , F. Schrempp , A. Stasto , H. Stenzel , W. J. Stirling , P. Szczypka , S. Tapprogge , C. Targett-Adams , M. Tasevsky , T. Teubner , R. S. Thorne , A. Tonazzo , A. Tricoli , N. Tuning , J. Turnau , U. Uwer , P. Van Mechelen , R. Venugopalan , M. Verducci , J. A. M. Vermaseren , A. Vogt , R. Vogt , B. F. L. Ward , Z. Was , G. Watt , B. M. Waugh , C. Weiser , M. R. Whalley , M. Wing , J. Winter , S. A. Yost , G. Zanderighi , N. P. Zotov

Lack of reliability is a well-known issue for reinforcement learning (RL) algorithms. This problem has gained increasing attention in recent years, and efforts to improve it have grown substantially. To aid RL researchers and production…

Machine Learning · Statistics 2020-02-14 Stephanie C. Y. Chan , Samuel Fishman , John Canny , Anoop Korattikara , Sergio Guadarrama

We integrate ir_datasets, ir_measures, and PyTerrier with TIRA in the Information Retrieval Experiment Platform (TIREx) to promote more standardized, reproducible, scalable, and even blinded retrieval experiments. Standardization is…

In industry, RESTful APIs are widely used to build modern Cloud Applications. Testing them is challenging, because not only they rely on network communications, but also they deal with external services like databases. Therefore, there has…

Software Engineering · Computer Science 2023-01-02 Amid Golmohammadi , Man Zhang , Andrea Arcuri

The interAdapt R package is designed to be used by statisticians and clinical investigators to plan randomized trials. It can be used to determine if certain adaptive designs offer tangible benefits compared to standard designs, in the…

Applications · Statistics 2014-06-19 Aaron Fisher , Harris Jaffee , Michael Rosenblum

To cope with the rapid growth in available data, the efficiency of data analysis and machine learning libraries has recently received increased attention. Although great advancements have been made in traditional array-based computations,…

We present Simitate --- a hybrid benchmarking suite targeting the evaluation of approaches for imitation learning. A dataset containing 1938 sequences where humans perform daily activities in a realistic environment is presented. The…

Machine Learning · Computer Science 2019-05-16 Raphael Memmesheimer , Ivanna Mykhalchyshyna , Viktor Seib , Dietrich Paulus

A new LISA simulator (LISACode) is presented. Its ambition is to achieve a new degree of sophistication allowing to map, as closely as possible, the impact of the different sub-systems on the measurements. LISACode is not a detailed…

General Relativity and Quantum Cosmology · Physics 2008-11-26 Antoine Petiteau , G. Auger , H. Halloin , O. Jeannin , E. Plagnol , Sophie Pireaux , Tania Regimbau , J. -Y. Vinet

We describe the plans and objectives of the CEDAR project (Combined e-Science Data Analysis Resource for High Energy Physics) newly funded by the PPARC e-Science programme in the UK. CEDAR will combine the strengths of the well established…

High Energy Physics - Phenomenology · Physics 2007-05-23 J. M. Butterworth , S. Butterworth , B. M. Waugh , W. J. Stirling , M. R. Whalley

Collecting data of students solving programming tasks is incredibly valuable for researchers and educators. It allows verifying that the students correctly apply the features and concepts they are taught, or finding students'…

Software Engineering · Computer Science 2025-07-29 Daniil Karol , Elizaveta Artser , Ilya Vlasov , Yaroslav Golubev , Hieke Keuning , Anastasiia Birillo

In software engineering, it is not enough to simply write code that only works as intended, even if it is free from vulnerabilities and bugs. Every programming language has a style guide and a set of best practices defined by its community,…

Deductive verification of software has not yet found its way into industry, as complexity and scalability issues require highly specialized experts. The long-term perspective is, however, to develop verification tools aiding industrial…

Programming Languages · Computer Science 2018-11-28 Alexander Knüppel , Thomas Thüm , Carsten Pardylla , Ina Schaefer

HERA is taking data since 1992; after a shutdown in 2000, data taking has restarted in 2002 with a five-fold increase in the luminosity. The first running period is referred to as HERA-I, whereas the second one is referred to as HERA-II. In…

High Energy Physics - Experiment · Physics 2007-05-23 Andrea Parenti
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