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Software development plays a crucial role in driving innovation and efficiency across modern societies.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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The treatment of ties in ranking problems
Maurice G Kendall. 1945 · 1945
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Breaking the complexity barrier again
Terry Winograd. 1973 · 1973
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Groupware and social dynamics: Eight challenges for developers
Jonathan Grudin. 1994 · 1994
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To be and not to be: On managing inconsistency in software development
Bashar Nuseibeh. 1996 · 1996
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Measuring the software process: statistical process control for software process improvement
William A Florac and Anita D Carleton. 1999 · 1999
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A knowledge-based approach for handling exceptions in business processes
Chrysanthos Dellarocas and Mark Klein. 2000 · 2000
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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METEOR: an automatic metric for MT evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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Challenges of migrating to agile methodologies
Sridhar Nerur, RadhaKanta Mahapatra, and George Mangalaraj. 2005 · 2005
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New product development glossary
DRM Associates. 2002 · 2006
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Answering the call for a standard reliability measure for coding data
Andrew F Hayes and Klaus Krippendorff. 2007 · 2007
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Agile requirements engineering practices: An empirical study
Lan Cao and Balasubramaniam Ramesh. 2008 · 2008
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Managing the Design Process-Implementing Design: An Essential Manual for the Working Designer
Terry Stone. 2010 · 2010
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Cider: Consensus-based image description evaluation
Ramakrishna Vedantam, C. Lawrence Zitnick, and Devi Parikh. 2015 · 2015
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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A survey of machine learning for big code and naturalness
Miltiadis Allamanis, Earl T Barr, Premkumar Devanbu, and Charles Sutton. 2018 · 2018
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Summarizing source code with transferred api knowledge
Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, and Zhi Jin. 2018 · 2018
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Continuous and collaborative technology transfer: Software engineering research with real-time industry impact
Tommi Mikkonen, Casper Lassenius, Tomi Männistö, Markku Oivo, and Janne Järvinen. 2018 · 2018
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Fine-tuning language models from human preferences
Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu, et al. 2020 · 2020
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Evaluating large language models trained on code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, et al. 2021 · 2021
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Lora: Low-rank adaptation of large language models
Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 2021 · 2021
Gpt4all: Training an assistant-style chatbot with large scale data distillation from gpt-3.5-turbo
Yuvanesh Anand, Zach Nussbaum, Brandon Duderstadt, Benjamin Schmidt, and Andriy Mulyar. 2023 · 2023
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Code alpaca: An instruction-following llama model for code generation
Sahil Chaudhary. 2023 · 2023
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Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality
Wei-Lin Chiang, Zhuohan Li, Zi Lin, Ying Sheng, Zhanghao Wu, Hao Zhang, Lianmin Zheng, Siyuan Zhuang, Yonghao Zhuang, Joseph E. Gonzalez, Ion Stoica, and Eric P. Xing. 2023 · 2023
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Hello dolly: Democratizing the magic of chatgpt with open models
Mike Conover, Matt Hayes, Matt Mathur, Xiangrui Meng, Jianwei Xie, Jun Wan, Ali Ghodsi, Patrick Wendell, and Patrick Zaharia. 2023 · 2023
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Sharegpt – share your wildest chatgpt conversations with one click
Domeccleston. 2023 · 2023
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Cross-task generalization via natural language crowdsourcing instructions
Swaroop Mishra, Daniel Khashabi, Chitta Baral, and Hannaneh Hajishirzi. 2021 · 2021
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Multitask prompted training enables zero-shot task generalization
Victor Sanh, Albert Webson, Colin Raffel, et al. 2021 · 2021
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Cast: Enhancing code summarization with hierarchical splitting and reconstruction of abstract syntax trees
Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, and Hongbin Sun. 2021 · 2021
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y. Zhao, et al. 2021 · 2021
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Sosum: a dataset of stack overflow post summaries
Bonan Kou, Yifeng Di, Muhao Chen, and Tianyi Zhang. 2022 · 2022
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Chatgpt: Optimizing language models for dialogue
TB OpenAI. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
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Xinyang Geng, Arnav Gudibande, Hao Liu, Eric Wallace, Pieter Abbeel, Sergey Levine, and Dawn Song. 2023 · 2023
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Is chatgpt a good translator? yes with gpt-4 as the engine
Wenxiang Jiao, Wenxuan Wang, JT Huang, Xing Wang, and ZP Tu. 2023 · 2023
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Creating a coding assistant with starcoder
Tunstall Lewis, Lambert Nathan, Beeching Nazneen, Rajaniand Edward, Le Scao Teven, Han Sheon, Schmid Philipp, von Werra Leandro, and Sasha Rush. 2023 · 2023
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Starcoder: may the source be with you!
Raymond Li, Loubna Ben Allal, Yangtian Zi, Niklas Muennighoff, Denis Kocetkov, Chenghao Mou, Marc Marone, Christopher Akiki, Jia Li, Jenny Chim, et al. 2023 · 2023
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OpenAI. 2023 · 2023
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Are large language models good evaluators for abstractive summarization?
Chenhui Shen, Liying Cheng, Yang You, and Lidong Bing. 2023 · 2023
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Towards efficient fine-tuning of pre-trained code models: An experimental study and beyond
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Alpaca-cot: An instruction fine-tuning platform with instruction data collection and unified large lnguage models interface
Qingyi Si, Tong Wang, Naibin Gu, Rui Liu, and Zheng Lin. 2023 · 2023
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Alpaca: A strong, replicable instruction-following model
Rohan Taori, Ishaan Gulrajani, Tianyi Zhang, Yann Dubois, Xuechen Li, Carlos Guestrin, Percy Liang, and Tatsunori B Hashimoto. 2023 · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, et al. 2023 · 2023
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GLM-130b: An open bilingual pre-trained model
Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, and Jie Tang. 2023 · 2023
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A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al. 2023 · 2023
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