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OpenAI's ChatGPT initiated a wave of technical iterations in the space of Large Language Models (LLMs) by demonstrating the capability and disruptive power of LLMs.
Why people hate your app: Making sense of user feedback in a mobile app store. In Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining . 1276–1284
Bin Fu, Jialiu Lin, Lei Li, Christos Faloutsos, Jason Hong, and Norman Sadeh. 2013 · 2013
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A measurement study of google play. In The 2014 ACM international conference on Measurement and modeling of computer systems . 221–233
Nicolas Viennot, Edward Garcia, and Jason Nieh. 2014 · 2014
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Same app, different app stores: A comparative study. In 2017 IEEE/ACM 4th International Conference on Mobile Software Engineering and Systems (MOBILESoft) . IEEE, 79–90
Mohamed Ali, Mona Erfani Joorabchi, and Ali Mesbah. 2017 · 2017
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A systematic literature review: Opinion mining studies from mobile app store user reviews
Necmiye Genc-Nayebi and Alain Abran. 2017 · 2017
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PYTHIA: a Framework for the Automated Analysis of Web Hosting Environments. In The World Wide Web Conference (WWW ’19) . ACM
Srdjan Matic, Gareth Tyson, and Gianluca Stringhini. 2019 · 2019
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CodeBERT: A Pre-Trained Model for Programming and Natural Languages. In Findings of the Association for Computational Linguistics: EMNLP 2020 . 1536–1547
Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, et al · 2020
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True few-shot learning with language models
Ethan Perez, Douwe Kiela, and Kyunghyun Cho. 2021 · 2021
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No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence. In Proceedings of the 30th ACM joint European software engineering conference and symposium on the foundations of software engineering . 382–394
Chaozheng Wang, Yuanhang Yang, Cuiyun Gao, Yun Peng, Hongyu Zhang, and Michael R Lyu. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al · 2023
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Grounded copilot: How programmers interact with code-generating models
Shraddha Barke, Michael B James, and Nadia Polikarpova. 2023 · 2023
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Programming is hard-or at least it used to be: Educational opportunities and challenges of ai code generation. In Proceedings of the 54th ACM Technical Symposium on Computer Science Education V. 1 . 500–506
Brett A Becker, Paul Denny, James Finnie-Ansley, Andrew Luxton-Reilly, James Prather, and Eddie Antonio Santos. 2023 · 2023
Cited alongside, same era.
Phoenix: Democratizing chatgpt across languages
Zhihong Chen, Feng Jiang, Junying Chen, Tiannan Wang, Fei Yu, Guiming Chen, Hongbo Zhang, Juhao Liang, Chen Zhang, Zhiyi Zhang, et al · 2023
Cited alongside, same era.
Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al · 2023
Cited alongside, same era.
Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, et al · 2023
Google Play
Google. 2024 · 2024
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BeeTrove OpenAI GPTs Dataset
André Mafei. 2024 · 2024
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GeoIP and GeoLite | MaxMind Developer Portal
MaxMind. 2024 · 2024
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Granite Code Models: A Family of Open Foundation Models for Code Intelligence
Mayank Mishra, Matt Stallone, Gaoyuan Zhang, Yikang Shen, Aditya Prasad, Adriana Meza Soria, Michele Merler, Parameswaran Selvam, Saptha Surendran, Shivdeep Singh, et al · 2024
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Potaroo: BGP Reports
potaroo. 2024 · 2024
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Route Views Project
Route Views. 2024 · 2024
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Cited alongside, same era.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
Cited alongside, same era.
Making pre-trained language models end-to-end few-shot learners with contrastive prompt tuning. In Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining . 438–446
Ziyun Xu, Chengyu Wang, Minghui Qiu, Fuli Luo, Runxin Xu, Songfang Huang, and Jun Huang. 2023 · 2023
Cited alongside, same era.
Phi-3 technical report: A highly capable language model locally on your phone
Marah Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat Behl, et al · 2024
Cited alongside, same era.
iTunes | Apple
Apple. 2024 · 2024
Cited alongside, same era.
GPT Store: Find the best GPTs on our GPTStore
Epic. 2024 · 2024
Cited alongside, same era.
ChatGPT Plus
OpenAI. 2024a
Cited in the paper.
Explore GPTs
OpenAI. 2024b
Cited in the paper.
Introducing GPTs | OpenAI
OpenAI. 2024c
Cited in the paper.
Zejun Zhang, Li Zhang, Xin Yuan, Anlan Zhang, Mengwei Xu, and Feng Qian. 2024 · 2024
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LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Justin Zhao, Timothy Wang, Wael Abid, Geoffrey Angus, Arnav Garg, Jeffery Kinnison, Alex Sherstinsky, Piero Molino, Travis Addair, and Devvret Rishi. 2024b · 2024
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LLM App Store Analysis: A Vision and Roadmap
Yanjie Zhao, Xinyi Hou, Shenao Wang, and Haoyu Wang. 2024a · 2024
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