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🖥️ Computer Science Applications

39 papers · page 1 of 2 · 1–25 · the most cited first · all shelves

Computer Science Applications is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Mobile Crowdsensing and Crowdsourcing», «Teaching and Learning Programming», «Online Learning and Analytics».

 Papers

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  1. Competition-Level Code Generation with AlphaCodeYujia Li, David Choi, Junyoung Chung, et al.2022 · 1,543 citations
  2. Code Llama: Open Foundation Models for CodeBaptiste Rozière, Jonas Gehring, Fabian Gloeckle, et al.2024 · 1,399 citations
  3. Program Synthesis with Large Language ModelsJacob Austin, Augustus Odena, Maxwell Nye, et al.2021 · 1,136 citations
  4. A New Dataset and Method for Automatically Grading ESOL TextsHelen Yannakoudakis, Ted Briscoe, Ben Medlock2011 · 813 citations
  5. UniXcoder: Unified Cross-Modal Pre-training for Code RepresentationDaya Guo, Shuai Lu, Nan Duan, et al.2022 · 768 citations
  6. Unified Pre-training for Program Understanding and GenerationWasi Ahmad, Saikat Chakraborty, Baishakhi Ray, et al.2021 · 746 citations
  7. Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code GenerationJiawei Liu, Chunqiu Steven Xia, Yuyao Wang, et al.2023 · 632 citations
  8. Collecting Image Annotations Using Amazon's Mechanical TurkCyrus Rashtchian, Peter Young, Micah Hodosh, et al.2010 · 562 citations
  9. Qwen2.5-Coder Technical ReportBinyuan Hui, Jian Yang, Zeyu Cui, et al.2024 · 547 citations
  10. LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for CodeNaman Jain, King Han, Alex Gu, et al.2024 · 540 citations
  11. CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-XQinkai Zheng, Xiao Xia, Xu Zou, et al.2023 · 462 citations
  12. Cheap and Fast – But is it Good? Evaluating Non-Expert Annotations for Natural Language TasksRion Snow, Brendan O'Connor, Daniel Jurafsky, et al.2008 · 390 citations
  13. Truth Is a Lie: Crowd Truth and the Seven Myths of Human AnnotationLora M. Aroyo, Chris Welty2015 · 385 citations
  14. Crowdsourcing Translation: Professional Quality from Non-ProfessionalsOmar F. Zaidan, Chris Callison-Burch2011 · 374 citations
  15. A Survey on Large Language Models for Code GenerationJuyong Jiang, Fan Wang, Jiasi Shen, et al.2024 · 366 citations
  16. GraphCodeBERT: Pre-training Code Representations with Data FlowDaya Guo, Shuo Ren, Shuai Lu, et al.2021 · 328 citations
  17. Learning to Mine Aligned Code and Natural Language Pairs from Stack OverflowPengcheng Yin, Bowen Deng, Edgar Chen, et al.2018 · 306 citations
  18. CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement LearningHung Le, Yue Wang, Akhilesh Deepak Gotmare, et al.2022 · 290 citations
  19. The Benefits of a Model of AnnotationRebecca J. Passonneau, Bob Carpenter2014 · 238 citations
  20. Toward a Perspectivist Turn in Ground Truthing for Predictive ComputingValerio Basile, Federico Cabitza, Andrea Campagner, et al.2021 · 225 citations
  21. CRUXEval: A Benchmark for Code Reasoning, Understanding and ExecutionAlex Gu, Baptiste Rozière, Hugh Leather, et al.2024 · 113 citations
  22. Outsourcing FrameNet to the CrowdMarco Fossati, Claudio Giuliano, Sara Tonelli2013 · 44 citations
  23. xCodeEval: A Large Scale Multilingual Multitask Benchmark for Code Understanding, Generation, Translation and RetrievalMohammad Abdullah Matin Khan, M Saiful Bari, Xuan Long Do, et al.2023 · 39 citations
  24. Phrase Detectives Corpus 1.0 Crowdsourced Anaphoric Coreference.Jon Chamberlain, Massimo Poesio, Udo Kruschwitz2016 · 31 citations
  25. A Probabilistic Annotation Model for Crowdsourcing CoreferenceSilviu Paun, Jon Chamberlain, Udo Kruschwitz, et al.2018 · 25 citations

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