Fetching the paper…
Reading the bibliography…
Large language models (LLMs) enable state-of-the-art semantic capabilities to be added to software systems such as semantic search of unstructured documents and text generation.
Answering queries by semantic caches. In International Conference on Database and Expert Systems Applications . Springer, 485–498
Parke Godfrey and Jarek Gryz. 1999 · 1999
Earlier work this paper cites.
Link: exploiting the web of data to generate test inputs. In Proceedings of the 2014 International Symposium on Software Testing and Analysis . 373–384
Leonardo Mariani, Mauro Pezzè, Oliviero Riganelli, and Mauro Santoro. 2014 · 2014
Earlier work this paper cites.
Enhanced query processing over semantic cache for cloud based relational databases
Munir Ahmad, Muhammad Abdul Qadir, Atta Rahman, Rachid Zagrouba, Fahd Alhaidari, Tariq Ali, and Farzana Zahid. 2020 · 2020
Earlier work this paper cites.
Testing apps with real-world inputs. In Proceedings of the IEEE/ACM 1st International Conference on Automation of Software Test . 1–10
Tanapuch Wanwarang, Nataniel P Borges Jr, Leon Bettscheider, and Andreas Zeller. 2020 · 2020
Earlier work this paper cites.
SBQP: Towards a Semantic-Based Query Processing for Efficient Mediation Caching. In Advances in Systems Engineering: Proceedings of the 28th International Conference on Systems Engineering, ICSEng 2021, December 14-16, Wrocław, Poland 28 . Springer, 477–487
Ouafa Ajarroud and Ahmed Zellou. 2022 · 2021
Earlier work this paper cites.
A dataset of information-seeking questions and answers anchored in research papers
Pradeep Dasigi, Kyle Lo, Iz Beltagy, Arman Cohan, Noah A Smith, and Matt Gardner. 2021 · 2021
Earlier work this paper cites.
ARTE: Automated Generation of Realistic Test Inputs for Web APIs
Juan C Alonso, Alberto Martin-Lopez, Sergio Segura, Jose Maria Garcia, and Antonio Ruiz-Cortes. 2022 · 2022
Cited alongside, same era.
Caching Historical Embeddings in Conversational Search
Ophir Frieder, Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, and Nicola Tonellotto. 2022 · 2022
Cited alongside, same era.
Semantics and canonicalisation of SPARQL 1.1
Jaime Salas and Aidan Hogan. 2022 · 2022
Cited alongside, same era.
Can Generative LLMs Create Query Variants for Test Collections? An Exploratory Study. In Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval . 1869–1873
Marwah Alaofi, Luke Gallagher, Mark Sanderson, Falk Scholer, and Paul Thomas. 2023 · 2023
Cited alongside, same era.
GPTCache: An Open-Source Semantic Cache for LLM Applications Enabling Faster Answers and Cost Savings. In 3rd Workshop for Natural Language Processing Open Source Software
Fu Bang. 2023 · 2023
Prompting large language models for zero-shot domain adaptation in speech recognition
Yuang Li, Yu Wu, Jinyu Li, and Shujie Liu. 2023 · 2023
Later among the works it cites.
Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) . 1355–1367
Zhe Liu, Chunyang Chen, Junjie Wang, Xing Che, Yuekai Huang, Jun Hu, and Qing Wang. 2023 · 2023
Later among the works it cites.
Software testing with large language model: Survey, landscape, and vision
Junjie Wang, Yuchao Huang, Chunyang Chen, Zhe Liu, Song Wang, and Qing Wang. 2023 · 2023
Later among the works it cites.
Beyond Testers’ Biases: Guiding Model Testing with Knowledge Bases using LLMs
Chenyang Yang, Rishabh Rustogi, Rachel Brower-Sinning, Grace A Lewis, Christian Kästner, and Tongshuang Wu. 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…
Cited alongside, same era.
Large language models are few-shot testers: Exploring llm-based general bug reproduction. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) . IEEE, 2312–2323
Sungmin Kang, Juyeon Yoon, and Shin Yoo. 2023 · 2023
Cited alongside, same era.
Shengcheng Yu, Chunrong Fang, Yuchen Ling, Chentian Wu, and Zhenyu Chen. 2023 · 2023
Later among the works it cites.