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🗄️ Information Systems

398 papers · page 1 of 5 · 1–25 · the most cited first · all shelves

Information Systems is a subfield of Computer Science in the OpenAlex classification of science. The topics most of its papers here are on: «Information Retrieval and Search Behavior», «Software Engineering Research», «Recommender Systems and Techniques».

 Papers

1 2 … 5

  1. C4.5: Programs for Machine LearningJ. Ross Quinlan1993 · 23,781 citations
  2. The Anatomy of a Large-Scale Hypertextual Web Search EngineSergey Brin, Lawrence Page1998 · 16,227 citations
  3. The PageRank Citation Ranking: Bringing Order to the WebLawrence Page, Sergey Brin, Rajeev Motwani, et al.1999 · 12,691 citations
  4. A Comprehensive Survey on Graph Neural NetworksZonghan Wu, Shirui Pan, Fengwen Chen, et al.2019 · 10,295 citations
  5. SQuAD: 100,000+ Questions for Machine Comprehension of TextPranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, et al.2016 · 9,488 citations
  6. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed SystemsMartín Abadi, Ashish Agarwal, Paul Barham, et al.2016 · 9,453 citations
  7. Authoritative Sources in a Hyperlinked EnvironmentJon M. Kleinberg1999 · 9,089 citations
  8. ChatGPT for Good? On Opportunities and Challenges of Large Language Models for EducationEnkelejda Kasneci, Kathrin Seßler, Stefan Küchemann, et al.2023 · 7,429 citations
  9. Dense Passage Retrieval for Open-Domain Question AnsweringVladimir Karpukhin, Barlas Oguz, Sewon Min, et al.2020 · 5,370 citations
  10. Instance-Based Learning AlgorithmsDavid W. Aha, Dennis Kibler, Marc K. Albert1991 · 5,248 citations
  11. Inductive Representation Learning on Large GraphsWilliam L. Hamilton, Rex Ying, Jure Leskovec2017 · 4,687 citations
  12. Performance of ChatGPT on USMLE: Potential for AI-assisted medical education using large language modelsTiffany H. Kung, Morgan Cheatham, Arielle Medenilla, et al.2023 · 4,154 citations
  13. Natural Questions: A Benchmark for Question Answering ResearchTom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, et al.2019 · 4,031 citations
  14. Teaching Machines to Read and ComprehendKarl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, et al.2015 · 3,806 citations
  15. A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open QuestionsLei Huang, Weijiang Yu, Weitao Ma, et al.2023 · 3,221 citations
  16. TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading ComprehensionMandar Joshi, Eunsol Choi, Daniel Weld, et al.2017 · 3,204 citations
  17. CodeBERT: A Pre-Trained Model for Programming and Natural LanguagesZhangyin Feng, Daya Guo, Duyu Tang, et al.2020 · 2,954 citations
  18. Learning to Rank using Gradient DescentChris Burges, Tal Shaked, Erin Renshaw, et al.2005 · 2,896 citations
  19. Reading Wikipedia to Answer Open-Domain QuestionsDanqi Chen, Adam Fisch, Jason Weston, et al.2017 · 2,250 citations
  20. Knowledge Graph Embedding via Dynamic Mapping MatrixGuoliang Ji, Shizhu He, Liheng Xu, et al.2015 · 1,936 citations
  21. A Language Modeling Approach to Information RetrievalJay M. Ponte, W. Bruce Croft1998 · 1,867 citations
  22. “Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News DetectionWilliam Yang Wang2017 · 1,801 citations
  23. ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERTOmar Khattab, Matei Zaharia2020 · 1,776 citations
  24. Leveraging Passage Retrieval with Generative Models for Open Domain Question AnsweringGautier Izacard, Edouard Grave2021 · 1,674 citations
  25. Retrieval-Augmented Generation for Large Language Models: A SurveyYunfan Gao, Yun Xiong, Xinyu Gao, et al.2023 · 1,647 citations

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