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Large Language Models (LLMs) have become increasingly popular for their advanced text generation capabilities across various domains.
Language models are few-shot learners
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The state and fate of linguistic diversity and inclusion in the NLP world
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Transformer interpretability beyond attention visualization. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition . 782–791
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A survey on understanding, visualizations, and explanation of deep neural networks
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A survey on neural network interpretability
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Training a helpful and harmless assistant with reinforcement learning from human feedback
Yuntao Bai, Andy Jones, Kamal Ndousse, Amanda Askell, Anna Chen, Nova DasSarma, Dawn Drain, Stanislav Fort, Deep Ganguli, Tom Henighan, et al · 2022
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Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned
Deep Ganguli, Liane Lovitt, Jackson Kernion, Amanda Askell, Yuntao Bai, Saurav Kadavath, Ben Mann, Ethan Perez, Nicholas Schiefer, Kamal Ndousse, et al · 2022
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Improving alignment of dialogue agents via targeted human judgements
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Deepinception: Hypnotize large language model to be jailbreaker
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Jailbreaking chatgpt via prompt engineering: An empirical study
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Comprehensive Evaluation of ChatGPT Reliability Through Multilingual Inquiries
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Amelia Glaese, Nat McAleese, Maja Trębacz, John Aslanides, Vlad Firoiu, Timo Ewalds, Maribeth Rauh, Laura Weidinger, Martin Chadwick, Phoebe Thacker, et al · 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
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Red teaming language models with language models
Ethan Perez, Saffron Huang, Francis Song, Trevor Cai, Roman Ring, John Aslanides, Amelia Glaese, Nat McAleese, and Geoffrey Irving. 2022 · 2022
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Yejin Bang, Samuel Cahyawijaya, Nayeon Lee, Wenliang Dai, Dan Su, Bryan Wilie, Holy Lovenia, Ziwei Ji, Tiezheng Yu, Willy Chung, et al · 2023
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Vicuna: An Open-Source Chatbot Impressing GPT-4 with 90%* ChatGPT Quality
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Jailbreaker: Automated jailbreak across multiple large language model chatbots
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Multilingual jailbreak challenges in large language models
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Llm self defense: By self examination, llms know they are being tricked
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Huachuan Qiu, Shuai Zhang, Anqi Li, Hongliang He, and Zhenzhong Lan. 2023 · 2023
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Survey of vulnerabilities in large language models revealed by adversarial attacks
Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, Pedram Zaree, Yue Dong, and Nael Abu-Ghazaleh. 2023 · 2023
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LLaMA: Open and Efficient Foundation Language Models
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Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models
Zhenhua Wang, Wei Xie, Kai Chen, Baosheng Wang, Zhiwen Gui, and Enze Wang. 2023 · 2023
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Low-resource languages jailbreak gpt-4
Zheng-Xin Yong, Cristina Menghini, and Stephen H Bach. 2023 · 2023
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Low-rank adaptation of large language model rescoring for parameter-efficient speech recognition. In 2023 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) . IEEE, 1–8
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M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models
Wenxuan Zhang, Sharifah Mahani Aljunied, Chang Gao, Yew Ken Chia, and Lidong Bing. 2023 · 2023
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PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts
Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Yue Zhang, Neil Zhenqiang Gong, and Xing Xie. 2023 · 2023
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Adaptive deconvolutional networks for mid and high level feature learning. In 2011 International Conference on Computer Vision . IEEE, 2018–2025
Matthew D Zeiler, Graham W Taylor, and Rob Fergus. 2011 · 2025
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