Fetching the paper…
Reading the bibliography…
Query rewrite, which aims to generate more efficient queries by altering a SQL query's structure without changing the query result, has been an important research problem.
Nils Reimers and Iryna Gurevych. 2019 · 1908
Earlier work this paper cites.
The EXODUS optimizer generator. In Proceedings of the 1987 ACM SIGMOD International Conference on Management of Data (San Francisco, California, USA) (SIGMOD ’87) . Association for Computing Machinery, New York, NY, USA, 160–172
Goetz Graefe and David J. DeWitt. 1987 · 1987
Earlier work this paper cites.
Extensible/Rule Based Query Rewrite Optimization in Starburst
Hamid Pirahesh, Joseph M. Hellerstein, and Waqar Hasan. 1992 · 1992
Earlier work this paper cites.
The Volcano optimizer generator: extensibility and efficient search. In Proceedings of IEEE 9th International Conference on Data Engineering . 209–218
G. Graefe and W.J. McKenna. 1993 · 1993
Earlier work this paper cites.
The Cascades Framework for Query Optimization
Goetz Graefe. 1995 · 1995
Earlier work this paper cites.
SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation. In Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017) . Association for Computational Linguistics
Daniel Cer, Mona Diab, Eneko Agirre, Inigo Lopez-Gazpio, and Lucia Specia. 2017 · 2001
Earlier work this paper cites.
Language Models are Few-Shot Learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2005
Earlier work this paper cites.
Factor Windows: Cost-based Query Rewriting for Optimizing Correlated Window Aggregates
Wentao Wu, Philip A. Bernstein, Alex Raizman, and Christina Pavlopoulou. 2022 · 2008
Earlier work this paper cites.
Curriculum Learning. In Proceedings of the 26th Annual International Conference on Machine Learning (Montreal, Quebec, Canada) (ICML ’09) . Association for Computing Machinery, New York, NY, USA, 41–48
Yoshua Bengio, Jérôme Louradour, Ronan Collobert, and Jason Weston. 2009 · 2009
Earlier work this paper cites.
Learning Word Vectors for Sentiment Analysis. In Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, Portland, Oregon, USA, 142–150
Andrew L. Maas, Raymond E. Daly, Peter T. Pham, Dan Huang, Andrew Y. Ng, and Christopher Potts. 2011 · 2011
Earlier work this paper cites.
How Good Are Query Optimizers, Really?
Viktor Leis, Andrey Gubichev, Atanas Mirchev, Peter A. Boncz, Alfons Kemper, and Thomas Neumann. 2015 · 2015
Cited alongside, same era.
Apache Calcite: A Foundational Framework for Optimized Query Processing Over Heterogeneous Data Sources. In Proceedings of the 2018 International Conference on Management of Data (SIGMOD/PODS ’18) . ACM
Edmon Begoli, Jesús Camacho-Rodríguez, Julian Hyde, Michael J. Mior, and Daniel Lemire. 2018 · 2018
Cited alongside, same era.
Cloud-Native Database Systems at Alibaba: Opportunities and Challenges
Feifei Li. 2019 · 2019
Cited alongside, same era.
A Learned Query Rewrite System Using Monte Carlo Tree Search
Xuanhe Zhou, Guoliang Li, Chengliang Chai, and Jianhua Feng. 2021 · 2021
Cited alongside, same era.
DSB: A Decision Support Benchmark for Workload-Driven and Traditional Database Systems. In VLDB 2022
Bailu Ding, Surajit Chaudhuri, Johannes Gehrke, and Vivek Narasayya. 2021 · 2022
Cited alongside, same era.
Toolformer: Language Models Can Teach Themselves to Use Tools
Timo Schick, Jane Dwivedi-Yu, Roberto Dessì, Roberta Raileanu, Maria Lomeli, Luke Zettlemoyer, Nicola Cancedda, and Thomas Scialom. 2023 · 2023
Later among the works it cites.
SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL
Ruoxi Sun, Sercan O. Arik, Hootan Nakhost, Hanjun Dai, Rajarishi Sinha, Pengcheng Yin, and Tomas Pfister. 2023 · 2023
Later among the works it cites.
Larger language models do in-context learning differently
Jerry Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, and Tengyu Ma. 2023 · 2023
Later among the works it cites.
ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2023 · 2023
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
SimCSE: Simple Contrastive Learning of Sentence Embeddings
Tianyu Gao, Xingcheng Yao, and Danqi Chen. 2022 · 2022
Cited alongside, same era.
WeTune: Automatic Discovery and Verification of Query Rewrite Rules. In Proceedings of the 2022 International Conference on Management of Data (Philadelphia, PA, USA) (SIGMOD ’22) . Association for Computing Machinery, New York, NY, USA, 94–107
Zhaoguo Wang, Zhou Zhou, Yicun Yang, Haoran Ding, Gansen Hu, Ding Ding, Chuzhe Tang, Haibo Chen, and Jinyang Li. 2022 · 2022
Cited alongside, same era.
QueryFormer: a tree transformer model for query plan representation
Yue Zhao, Gao Cong, Jiachen Shi, and Chunyan Miao. 2022 · 2022
Cited alongside, same era.
QueryBooster: Improving SQL Performance Using Middleware Services for Human-Centered Query Rewriting
Qiushi Bai, Sadeem Alsudais, and Chen Li. 2023 · 2023
Cited alongside, same era.
Survey of Hallucination in Natural Language Generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung. 2023 · 2023
Cited alongside, same era.
Apache Calcite Rewrite Rules
[n.d.]
Cited in the paper.
Introduction of OpenAI Text Generation APIs
[n.d.]
Cited in the paper.
Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Anh Tuan Luu, Wei Bi, Freda Shi, and Shuming Shi. 2023 · 2023
Later among the works it cites.
R 3 R^{3} -NL2GQL: A Hybrid Models Approach for for Accuracy Enhancing and Hallucinations Mitigation
Yuhang Zhou, He Yu, Siyu Tian, Dan Chen, Liuzhi Zhou, Xinlin Yu, Chuanjun Ji, Sen Liu, Guangnan Ye, and Hongfeng Chai. 2023 · 2023
Later among the works it cites.
Matthijs Douze, Alexandr Guzhva, Chengqi Deng, Jeff Johnson, Gergely Szilvasy, Pierre-Emmanuel Mazaré, Maria Lomeli, Lucas Hosseini, and Hervé Jégou. 2024 · 2024
Closest in time.
DB-GPT: Empowering Database Interactions with Private Large Language Models
Siqiao Xue, Caigao Jiang, Wenhui Shi, Fangyin Cheng, Keting Chen, Hongjun Yang, Zhiping Zhang, Jianshan He, Hongyang Zhang, Ganglin Wei, Wang Zhao, Fan Zhou, Danrui Qi, Hong Yi, Shaodong Liu, and Faqiang Chen. 2024 · 2024
Closest in time.
A Comparative Study and Component Analysis of Query Plan Representation Techniques in ML4DB Studies
Yue Zhao, Zhaodonghui Li, and Gao Cong. 2024 · 2024
Closest in time.