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With the expanding application of Large Language Models (LLMs) in various domains, it becomes imperative to comprehensively investigate their unforeseen behaviors and consequent outcomes.
Release Strategies and the Social Impacts of Language Models
Irene Solaiman, Miles Brundage, Jack Clark, Amanda Askell, Ariel Herbert-Voss, Jeff Wu, Alec Radford, Gretchen Krueger, Jong Wook Kim, Sarah Kreps, Miles McCain, Alex Newhouse, Jason Blazakis, Kris McGuffie, and Jasmine Wang. 2019 · 1908
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Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler, Nisan Stiennon, Jeffrey Wu, Tom B. Brown, Alec Radford, Dario Amodei, Paul Christiano, and Geoffrey Irving. 2020 · 1909
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The K-means algorithm
J Hartigan. 1975 · 1975
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A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), Portland, Oregon, USA , Vol. 96. 226–231
Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu, et al · 1996
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NLTK: The Natural Language Toolkit
Edward Loper and Steven Bird. 2002 · 2002
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Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg, Michael Wybrow, Ingrid Zukerman, Steven Mascaro, Shreshth Thakur, Abraham Oshni Alvandi, Jeff Riley, Ross Pearson, Shane Morris, Matthieu Herrmann, A.K.M. Azad, Fergus Bolger, Ulrike Hahn, and David Lagnado. 2020 · 2003
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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
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Fast unfolding of communities in large networks
Vincent D Blondel, Jean-Loup Guillaume, Renaud Lambiotte, and Etienne Lefebvre. 2008 · 2008
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An Introduction to Qualitative Research
U. Flick. 2009 · 2009
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A Modified K-means Algorithms - Bi-Level K-Means Algorithm. In Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology . Atlantis Press, 10–13
Shyr-Shen Yu, Shao-Wei Chu, Ching-Lin Wang, Yung-Kuan Chan, and Chia Yi Chuang. 2014/05 · 2014
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UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
James Melville Leland McInnes, John Healy. 2018 · 2018
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From Louvain to Leiden: guaranteeing well-connected communities
Nees Jan van Eck Vincent Traag, Ludo Waltman. 2018 · 2018
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Machine Translation Testing via Pathological Invariance. In Proceedings of the 28th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (Virtual Event, USA) (ESEC/FSE 2020) . Association for Computing Machinery, New York, NY, USA, 863–875
Shashij Gupta, Pinjia He, Clara Meister, and Zhendong Su. 2020 · 2020
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GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Zhengxiao Du, Yujie Qian, Xiao Liu, Ming Ding, Jiezhong Qiu, Zhilin Yang, and Jie Tang. 2022 · 2022
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Teaching Models to Express Their Uncertainty in Words
Stephanie Lin, Jacob Hilton, and Owain Evans. 2022 · 2022
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Text and Code Embeddings by Contrastive Pre-Training
Arvind Neelakantan, Tao Xu, Raul Puri, Alec Radford, Jesse Michael Han, Jerry Tworek, Qiming Yuan, Nikolas Tezak, Jong Wook Kim, Chris Hallacy, Johannes Heidecke, Pranav Shyam, Boris Power, Tyna Eloundou Nekoul, Girish Sastry, Gretchen Krueger, David Schnurr, Felipe Petroski Such, Kenny Hsu, Madeleine Thompson, Tabarak Khan, Toki Sherbakov, Joanne Jang, Peter Welinder, and Lilian Weng. 2022 · 2022
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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, et al · 2022
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SolidGoldMagikarp (plus, prompt generation)
(Accessed on 09/25/2023) · 2023
Cited alongside, same era.
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, et al · 2023
Cited alongside, same era.
Pentestgpt: An llm-empowered automatic penetration testing tool
Gelei Deng, Yi Liu, Víctor Mayoral-Vilches, Peng Liu, Yuekang Li, Yuan Xu, Tianwei Zhang, Yang Liu, Martin Pinzger, and Stefan Rass. 2023a · 2023
Cited alongside, same era.
Large language models are edge-case fuzzers: Testing deep learning libraries via fuzzgpt
Yinlin Deng, Chunqiu Steven Xia, Chenyuan Yang, Shizhuo Dylan Zhang, Shujing Yang, and Lingming Zhang. 2023b · 2023
Cited alongside, same era.
https://www.lesswrong.com/posts/kmWrwtGE9B9hpbgRT/a-search-for-more-chatgpt-gpt-3-5-gpt-4-unspeakable-glitch
A Search for More ChatGPT / GPT-3.5 / GPT-4 "Unspeakable" Glitch Tokens. (Accessed on 09/26/2023) · 2023
https://www.lesswrong.com/posts/Ya9LzwEbfaAMY8ABo/solidgoldmagikarp-ii-technical-details-and-more-recent
SolidGoldMagikarp II: technical details and more recent findings. (Accessed on 09/25/2023) · 2023
Later among the works it cites.
aeroBERT-NER: Named-Entity Recognition for Aerospace Requirements Engineering using BERT. In AIAA SCITECH 2023 Forum . 2583
Archana Tikayat Ray, Olivia J Pinon-Fischer, Dimitri N Mavris, Ryan T White, and Bjorn F Cole. 2023 · 2023
Later among the works it cites.
https://www.lesswrong.com/posts/8viQEp8KBg2QSW4Yc/solidgoldmagikarp-iii-glitch-token-archaeology
SolidGoldMagikarp III: Glitch token archaeology — LessWrong. (Accessed on 09/26/2023) · 2023
Later among the works it cites.
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, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 2023 · 2023
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Cited alongside, same era.
How does ChatGPT perform on the United States medical licensing examination? The implications of large language models for medical education and knowledge assessment
Aidan Gilson, Conrad W Safranek, Thomas Huang, Vimig Socrates, Ling Chi, Richard Andrew Taylor, David Chartash, et al · 2023
Cited alongside, same era.
An empirical study on fine-tuning large language models of code for automated program repair. In 2023 38th IEEE/ACM International Conference on Automated Software Engineering (ASE) . IEEE, 1162–1174
Kai Huang, Xiangxin Meng, Jian Zhang, Yang Liu, Wenjie Wang, Shuhao Li, and Yuqing Zhang. 2023 · 2023
Cited alongside, same era.
https://www.geeksforgeeks.org/ml-hierarchical-clustering-agglomerative-and-divisive-clustering/
Hierarchical Clustering in Machine Learning. (Accessed on 09/27/2023) · 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, Lélio Renard Lavaud, Marie-Anne Lachaux, Pierre Stock, Teven Le Scao, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed. 2023 · 2023
Cited alongside, same era.
Prompt Injection attack against LLM-integrated Applications
Yi Liu, Gelei Deng, Yuekang Li, Kailong Wang, Tianwei Zhang, Yepang Liu, Haoyu Wang, Yan Zheng, and Yang Liu. 2023a · 2023
Cited alongside, same era.
Jailbreaking chatgpt via prompt engineering: An empirical study
Yi Liu, Gelei Deng, Zhengzi Xu, Yuekang Li, Yaowen Zheng, Ying Zhang, Lida Zhao, Tianwei Zhang, and Yang Liu. 2023b · 2023
Cited alongside, same era.
https://www.geeksforgeeks.org/ml-k-means-algorithm/
ML | K means++ Algorithm. (Accessed on 09/27/2023) · 2023
Cited alongside, same era.
Yuxuan Wan, Wenxuan Wang, Pinjia He, Jiazhen Gu, Haonan Bai, and Michael Lyu. 2023 · 2023
Later among the works it cites.
Mttm: Metamorphic testing for textual content moderation software. In 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE) . IEEE, 2387–2399
Wenxuan Wang, Jen-tse Huang, Weibin Wu, Jianping Zhang, Yizhan Huang, Shuqing Li, Pinjia He, and Michael R Lyu. 2023c · 2023
Later among the works it cites.
CMATH: Can Your Language Model Pass Chinese Elementary School Math Test?
Tianwen Wei, Jian Luan, Wei Liu, Shuang Dong, and Bin Wang. 2023 · 2023
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Automated Testing and Improvement of Named Entity Recognition Systems
Boxi Yu, Yiyan Hu, Qiuyang Mang, Wenhan Hu, and Pinjia He. 2023 · 2023
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E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition
Zhen Zhang, Mengting Hu, Shiwan Zhaofor, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, and Bingzhe Wu. 2023 · 2023
Later among the works it cites.
Play Guessing Game with LLM: Indirect Jailbreak Attack with Implicit Clues
Zhiyuan Chang, Mingyang Li, Yi Liu, Junjie Wang, Qing Wang, and Yang Liu. 2024 · 2024
Closest in time.
Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning
Gelei Deng, Yi Liu, Kailong Wang, Yuekang Li, Tianwei Zhang, and Yang Liu. 2024b · 2024
Closest in time.
https://sites.google.com/view/glitchhunter-fse2024
GlitchHunter. (Accessed on 03/05/2024) · 2024
Closest in time.
OpenAI. 2024 · 2024
Closest in time.
https://huggingface.co/datasets/RyokoAI/ShareGPT52K
ShareGPT52K. (Accessed on 03/06/2024) · 2024
Closest in time.
MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation
Guanyu Wang, Yuekang Li, Yi Liu, Gelei Deng, Tianlin Li, Guosheng Xu, Yang Liu, Haoyu Wang, and Kailong Wang. 2024 · 2024
Closest in time.
LLM Jailbreak Attack versus Defense Techniques–A Comprehensive Study
Zihao Xu, Yi Liu, Gelei Deng, Yuekang Li, and Stjepan Picek. 2024 · 2024
Closest in time.