--- title: "Association for Computing Machinery — works" description: "26 works of Association for Computing Machinery in our library, the most cited first." canonical: "https://research.elamur.ai/free/en/publishers/association-for-computing-machinery/works/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/publishers/association-for-computing-machinery/works/) [home](https://md.research.elamur.ai/free/en/) / [publishers](https://md.research.elamur.ai/free/en/publishers/) / [Association for Computing Machinery](https://md.research.elamur.ai/free/en/publishers/association-for-computing-machinery/) / works # Works of Association for Computing Machinery 26 works · the most cited first · [← Association for Computing Machinery](https://md.research.elamur.ai/free/en/publishers/association-for-computing-machinery/) 1. [**Authoritative Sources in a Hyperlinked Environment**Jon M. Kleinberg*1999 · 9,089 citations*](https://md.research.elamur.ai/free/en/papers/kleinberg-1999-authoritative-sources-hyperlinked-environment/) 2. [**Survey of Hallucination in Natural Language Generation**Ziwei Ji, Nayeon Lee, Rita Frieske, et al.*2022 · 5,947 citations*](https://md.research.elamur.ai/free/en/papers/ji-2022-survey-hallucination-natural-language-generation/) 3. [**A Survey on Bias and Fairness in Machine Learning**Ninareh Mehrabi, Fred Morstatter, Nripsuta Saxena, et al.*2019 · 5,622 citations*](https://md.research.elamur.ai/free/en/papers/mehrabi-2019-survey-bias-fairness-machine-learning/) 4. [**Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing**Pengfei Liu, Weizhe Yuan, Jinlan Fu, et al.*2021 · 5,375 citations*](https://md.research.elamur.ai/free/en/papers/liu-2021-pre-train-prompt-predict-systematic/) 5. [**A Survey on Evaluation of Large Language Models**Yupeng Chang, Xu Wang, Jindong Wang, et al.*2023 · 3,640 citations*](https://md.research.elamur.ai/free/en/papers/chang-2023-survey-evaluation-large-language-models/) 6. [**Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing**Yu Gu; Robert Tinn; Hao Cheng; Michael Lucas; Naoto Usuyama; Xiaodong Liu; Tristan Naumann; Jianfeng Gao;, Hoifung Poon*2020 · 2,636 citations*](https://md.research.elamur.ai/free/en/papers/gu-2020-domain-specific-language-model-pretraining/) 7. [**Knowledge Graphs**Aidan Hogan, Eva Blomqvist, Michael Cochez, et al.*2020 · 2,011 citations*](https://md.research.elamur.ai/free/en/papers/hogan-2020-knowledge-graphs/) 8. [**Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey**Bonan Min, Hayley Ross, Elior Sulem, et al.*2021 · 1,548 citations*](https://md.research.elamur.ai/free/en/papers/min-2021-recent-advances-natural-language-processing/) 9. [**Efficient Transformers: A Survey**Yi Tay, Mostafa Dehghani, Dara Bahri, et al.*2020 · 1,513 citations*](https://md.research.elamur.ai/free/en/papers/tay-2020-efficient-transformers-survey/) 10. [**Open Information Extraction from the Web**Michele Banko, Michael J. Cafarella, Stephen Soderland, et al.*2007 · 1,459 citations*](https://md.research.elamur.ai/free/en/papers/banko-2007-open-information-extraction-web/) 11. [**A Comprehensive Overview of Large Language Models**Humza Naveed, Asad Ullah Khan, Shi Qiu, et al.*2023 · 1,286 citations*](https://md.research.elamur.ai/free/en/papers/naveed-2023-comprehensive-overview-large-language-models/) 12. [**Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond**Jingfeng Yang, Hongye Jin, Ruixiang Tang, et al.*2023 · 806 citations*](https://md.research.elamur.ai/free/en/papers/yang-2023-harnessing-power-llms-practice-survey/) 13. [**Explainability for Large Language Models: A Survey**Haiyan Zhao, Hanjie Chen, Fan Yang, et al.*2023 · 785 citations*](https://md.research.elamur.ai/free/en/papers/zhao-2023-explainability-large-language-models-survey/) 14. [**Instruction Tuning for Large Language Models: A Survey**Shengyu Zhang, Linfeng Dong, Xiaoya Li, et al.*2023 · 515 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-instruction-tuning-large-language-models/) 15. [**Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation**Dawei Gao, Haibin Wang, Yaliang Li, et al.*2023 · 461 citations*](https://md.research.elamur.ai/free/en/papers/gao-2023-text-sql-empowered-large-language/) 16. [**Security and Privacy Challenges of Large Language Models: A Survey**Badhan Chandra Das, M. Hadi Amini, Yanzhao Wu*2024 · 422 citations*](https://md.research.elamur.ai/free/en/papers/das-2024-security-privacy-challenges-large-language/) 17. [**Tool Learning with Foundation Models**Yujia Qin, Shengding Hu, Yankai Lin, et al.*2023 · 376 citations*](https://md.research.elamur.ai/free/en/papers/qin-2023-tool-learning-foundation-models/) 18. [**A Survey on Large Language Models for Code Generation**Juyong Jiang, Fan Wang, Jiasi Shen, et al.*2024 · 366 citations*](https://md.research.elamur.ai/free/en/papers/jiang-2024-survey-large-language-models-code/) 19. [**Empirical evaluation of shallow and deep learning classifiers for Arabic sentiment analysis**Ali Bou Nassif, Abdollah Masoud Darya, Ashraf Elnagar*2021 · 34 citations*](https://md.research.elamur.ai/free/en/papers/nassif-2021-empirical-evaluation-shallow-deep-learning/) 20. [**Arabic Diacritic Recovery Using a Feature-Rich biLSTM Model**Kareem Darwish, Ahmed Abdelali, Hamdy Mubarak, et al.*2020 · 28 citations*](https://md.research.elamur.ai/free/en/papers/darwish-2020-arabic-diacritic-recovery-using-feature/) 21. [**A New Amharic Speech Emotion Dataset and Classification Benchmark**Ephrem A. Retta, Eiad Almekhlafi, Richard Sutcliffe, et al.*2022 · 23 citations*](https://md.research.elamur.ai/free/en/papers/retta-2022-new-amharic-speech-emotion-dataset/) 22. [**Toward a Period-Specific Optimized Neural Network for OCR Error Correction of Historical Hebrew Texts**Omri Suissa, Maayan Zhitomirsky-Geffet, Avshalom Elmalech*2023 · 13 citations*](https://md.research.elamur.ai/free/en/papers/suissa-2023-toward-period-specific-optimized-neural/) 23. [**I3rab: A New Arabic Dependency Treebank Based on Arabic Grammatical Theory**Dana Halabi, Ebaa Fayyoumi, Arafat Awajan*2020 · 13 citations*](https://md.research.elamur.ai/free/en/papers/halabi-2020-i3rab-new-arabic-dependency-treebank/) 24. [**Hateful People or Hateful Bots? Detection and Characterization of Bots Spreading Religious Hatred in Arabic Social Media**Nuha Albadi, Maram Kurdi, Shivakant Mishra*2019 · 13 citations*](https://md.research.elamur.ai/free/en/papers/albadi-2019-hateful-people-hateful-bots-detection/) 25. [**Multi-task Learning with Active Learning for Arabic Offensive Speech Detection**Aisha Alansari, Hamzah Luqman*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/alansari-2025-multi-task-learning-active-learning/) 26. [**AraSpot: Arabic Spoken Command Spotting**Mahmoud Salhab, Haidar Harmanani*2023 · 1 citation*](https://md.research.elamur.ai/free/en/papers/salhab-2023-araspot-arabic-spoken-command-spotting/) - [← back to](https://md.research.elamur.ai/free/en/publishers/association-for-computing-machinery/) — Association for Computing Machinery