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As safety remains a crucial concern throughout the development lifecycle of Large Language Models (LLMs), researchers and industrial practitioners have increasingly focused on safeguarding and aligning LLM behaviors with human preferences and ethical standards.
Sentence-bert: Sentence embeddings using siamese bert-networks
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Anatole Lyovin · 1997
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Mapping the origins and expansion of the indo-european language family
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A comparative typology of English and German: Unifying the contrasts
John Hawkins · 2015
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On the relation between linguistic typology and (limitations of) multilingual language modeling
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On the relation between linguistic typology and (limitations of) multilingual language modeling
Daniela Gerz, Ivan Vulić, Edoardo Maria Ponti, Roi Reichart, and Anna Korhonen · 2018
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Johannes Bjerva and Isabelle Augenstein · 2018
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From language mixing to fused lects: The process and its outcomes, 2021
Peter Auer and Nikolay Hakimov · 2021
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Large language models are human-level prompt engineers
Yongchao Zhou, Andrei Ioan Muresanu, Ziwen Han, Keiran Paster, Silviu Pitis, Harris Chan, and Jimmy Ba · 2022
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Expectation vs. experience: Evaluating the usability of code generation tools powered by large language models
Priyan Vaithilingam, Tianyi Zhang, and Elena L Glassman · 2022
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Training a helpful and harmless assistant with reinforcement learning from human feedback
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A new generation of perspective api: Efficient multilingual character-level transformers
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Language kinship of english, german, and dutch: A comparative historical linguistic study
Nisa Anggraini Batubara and Dwi Widayati · 2022
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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
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Wider and deeper llm networks are fairer llm evaluators
Xinghua Zhang, Bowen Yu, Haiyang Yu, Yangyu Lv, Tingwen Liu, Fei Huang, Hongbo Xu, and Yongbin Li · 2023
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Sparks of artificial general intelligence: Early experiments with gpt-4
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Certifying llm safety against adversarial prompting
Aounon Kumar, Chirag Agarwal, Suraj Srinivas, Soheil Feizi, and Hima Lakkaraju · 2023
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Fine-tuning aligned language models compromises safety, even when users do not intend to!
Xiangyu Qi, Yi Zeng, Tinghao Xie, Pin-Yu Chen, Ruoxi Jia, Prateek Mittal, and Peter Henderson · 2023
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Mart: Improving llm safety with multi-round automatic red-teaming
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, and Yuning Mao · 2023
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Usage policies
OpenAI · 2023
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Claude 3
Anthropic · 2024
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Albert Q Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, et al · 2024
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Eliciting the translation ability of large language models via multilingual finetuning with translation instructions
Jiahuan Li, Hao Zhou, Shujian Huang, Shanbo Cheng, and Jiajun Chen · 2024
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Jailbroken: How does llm safety training fail?
Alexander Wei, Nika Haghtalab, and Jacob Steinhardt · 2024
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Llm jailbreak attack versus defense techniques–a comprehensive study
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Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, et al · 2023
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A holistic approach to undesired content detection in the real world
Todor Markov, Chong Zhang, Sandhini Agarwal, Florentine Eloundou Nekoul, Theodore Lee, Steven Adler, Angela Jiang, and Lilian Weng · 2023
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Viet Dac Lai, Nghia Trung Ngo, Amir Pouran Ben Veyseh, Hieu Man, Franck Dernoncourt, Trung Bui, and Thien Huu Nguyen · 2023
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Multilingual jailbreak challenges in large language models
Yue Deng, Wenxuan Zhang, Sinno Jialin Pan, and Lidong Bing · 2023
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Safe rlhf: Safe reinforcement learning from human feedback
Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, and Yaodong Yang · 2023
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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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Federico Bianchi, Mirac Suzgun, Giuseppe Attanasio, Paul Röttger, Dan Jurafsky, Tatsunori Hashimoto, and James Zou · 2023
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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
Cited alongside, same era.
Zihao Xu, Yi Liu, Gelei Deng, Yuekang Li, and Stjepan Picek · 2024
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Prompt-driven llm safeguarding via directed representation optimization
Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, and Nanyun Peng · 2024
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What linguistic features and languages are important in llm translation?
Ryandito Diandaru, Lucky Susanto, Zilu Tang, Ayu Purwarianti, and Derry Wijaya · 2024
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Multilingual large language model: A survey of resources, taxonomy and frontiers
Libo Qin, Qiguang Chen, Yuhang Zhou, Zhi Chen, Yinghui Li, Lizi Liao, Min Li, Wanxiang Che, and Philip S Yu · 2024
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A survey on large language models with multilingualism: Recent advances and new frontiers
Kaiyu Huang, Fengran Mo, Hongliang Li, You Li, Yuanchi Zhang, Weijian Yi, Yulong Mao, Jinchen Liu, Yuzhuang Xu, Jinan Xu, et al · 2024
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Don’t say no: Jailbreaking llm by suppressing refusal
Yukai Zhou and Wenjie Wang · 2024
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Leo Schwinn, David Dobre, Sophie Xhonneux, Gauthier Gidel, and Stephan Gunnemann · 2024
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Weixiang Zhao, Yulin Hu, Zhuojun Li, Yang Deng, Yanyan Zhao, Bing Qin, and Tat-Seng Chua · 2024
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To believe or not to believe your llm
Yasin Abbasi Yadkori, Ilja Kuzborskij, András György, and Csaba Szepesvári · 2024
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Patchscope: A unifying framework for inspecting hidden representations of language models
Asma Ghandeharioun, Avi Caciularu, Adam Pearce, Lucas Dixon, and Mor Geva · 2024
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Online safety analysis for llms: a benchmark, an assessment, and a path forward
Xuan Xie, Jiayang Song, Zhehua Zhou, Yuheng Huang, Da Song, and Lei Ma · 2024
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Don’t listen to me: Understanding and exploring jailbreak prompts of large language models
Zhiyuan Yu, Xiaogeng Liu, Shunning Liang, Zach Cameron, Chaowei Xiao, and Ning Zhang · 2024
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Introducing qwen1.5, February 2024
Qwen Team · 2024
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A framework for real-time safeguarding the text generation of large language
Ximing Dong, Dayi Lin, Shaowei Wang, and Ahmed E Hassan · 2024
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