“What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models-Reference-Cited by-同舟云学术

“What It Wants Me To Say”: Bridging the Abstraction Gap Between End-User Programmers and Code-Generating Large Language Models

Published:2023-04-19 Issue: Volume: Page:
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Container-title:Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
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Author:

Liu Michael Xieyang,Sarkar Advait,Negreanu Carina,Zorn Benjamin,Williams Jack,Toronto Neil,Gordon Andrew D.

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3544548.3580817

Reference133 articles.

1. Shengnan An Yifei Li Zeqi Lin Qian Liu Bei Chen Qiang Fu Weizhu Chen Nanning Zheng and Jian-Guang Lou. 2022. Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models. ArXiv abs/2203.03131(2022). Shengnan An Yifei Li Zeqi Lin Qian Liu Bei Chen Qiang Fu Weizhu Chen Nanning Zheng and Jian-Guang Lou. 2022. Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models. ArXiv abs/2203.03131(2022).

2. Deniz Arsan , Ali Zaidi , Aravind Sagar , and Ranjitha Kumar . 2021 . App-Based Task Shortcuts for Virtual Assistants. In The 34th Annual ACM Symposium on User Interface Software and Technology. 1089–1099 . Deniz Arsan, Ali Zaidi, Aravind Sagar, and Ranjitha Kumar. 2021. App-Based Task Shortcuts for Virtual Assistants. In The 34th Annual ACM Symposium on User Interface Software and Technology. 1089–1099.

3. Resilient Chatbots

4. The problem of speech genres;Bakhtin Mikhail;Literary Criticism,2011

5. Emily M. Bender and Alexander Koller. 2020. Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data . In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, Online, 5185–5198 . https://doi.org/10. 1865 3/v1/2020.acl-main.463 10.18653/v1 Emily M. Bender and Alexander Koller. 2020. Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics. Association for Computational Linguistics, Online, 5185–5198. https://doi.org/10.18653/v1/2020.acl-main.463

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