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In the rapidly evolving field of Large Language Models (LLMs), ensuring safety is a crucial and widely discussed topic.
Least squares quantization in pcm
Stuart Lloyd · 1982
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Cultural safety — what does it mean for our work practice?
Robyn Williams · 1999
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What is the rule of law and why is it so important
Mortimer N. S. Sellers · 2014
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Ethical challenges in data-driven dialogue systems
Peter Henderson, Koustuv Sinha, Nicolas Angelard-Gontier, Nan Rosemary Ke, Genevieve Fried, Ryan Lowe, and Joelle Pineau · 2018
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Hellaswag: Can a machine really finish your sentence?
Rowan Zellers, Ari Holtzman, Yonatan Bisk, Ali Farhadi, and Yejin Choi · 2019
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Measuring massive multitask language understanding
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt · 2020
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Societal biases in language generation: Progress and challenges
Emily Sheng, Kai-Wei Chang, Premkumar Natarajan, and Nanyun Peng · 2021
Earlier work this paper cites.
Ethical and social risks of harm from language models
Laura Weidinger, John Mellor, Maribeth Rauh, Conor Griffin, Jonathan Uesato, Po-Sen Huang, Myra Cheng, Mia Glaese, Borja Balle, Atoosa Kasirzadeh, et al · 2021
Earlier work this paper cites.
Broaden the vision: Geo-diverse visual commonsense reasoning
Da Yin, Liunian Harold Li, Ziniu Hu, Nanyun Peng, and Kai-Wei Chang · 2021
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A review on language models as knowledge bases
Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, Mona T. Diab, and Marjan Ghazvininejad · 2022
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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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Stereokg: Data-driven knowledge graph construction for cultural knowledge and stereotypes
Awantee V. Deshpande, Dana Ruiter, Marius Mosbach, and Dietrich Klakow · 2022
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Normsage: Multi-lingual multi-cultural norm discovery from conversations on-the-fly
Yi Ren Fung, Tuhin Chakraborty, Hao Guo, Owen Rambow, Smaranda Muresan, and Heng Ji · 2022
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Predictability and surprise in large generative models
Deep Ganguli, Danny Hernandez, Liane Lovitt, Amanda Askell, Yuntao Bai, Anna Chen, Tom Conerly, Nova Dassarma, Dawn Drain, Nelson Elhage, et al · 2022
Earlier work this paper cites.
World values survey wave 7 (2017-2022) cross-national data-set
Christian Haerpfer, Ronald Inglehart, Alejandro Moreno, Christian Welzel, Kseniya Kizilova, Jaime Diez-Medrano, Marta Lagos, Pippa Norris, Eduard Ponarin, and Bi Puranen · 2022
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CONCRETE: Improving cross-lingual fact-checking with cross-lingual retrieval
Kung-Hsiang Huang, ChengXiang Zhai, and Heng Ji · 2022
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Extracting cultural commonsense knowledge at scale
Tuan-Phong Nguyen, Simon Razniewski, Aparna S. Varde, and Gerhard Weikum · 2022
Cited alongside, same era.
On the safety of conversational models: Taxonomy, dataset, and benchmark
Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, and Minlie Huang · 2022
Cited alongside, same era.
GeoMLAMA: Geo-diverse commonsense probing on multilingual pre-trained language models
Da Yin, Hritik Bansal, Masoud Monajatipoor, Liunian Harold Li, and Kai-Wei Chang · 2022
Cited alongside, same era.
A survey on evaluation of large language models
Yu-Chu Chang, Xu Wang, Jindong Wang, Yuanyi Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Weirong Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qian Yang, and Xingxu Xie · 2023
Cited alongside, same era.
Chatgpt’s one-year anniversary: Are open-source large language models catching up?
Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, and Shafiq R. Joty · 2023
Zephyr: Direct distillation of lm alignment
Lewis Tunstall, Edward Beeching, Nathan Lambert, Nazneen Rajani, Kashif Rasul, Younes Belkada, Shengyi Huang, Leandro von Werra, Clémentine Fourrier, Nathan Habib, et al · 2023
Later among the works it cites.
Safetybench: Evaluating the safety of large language models with multiple choice questions
Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, and Minlie Huang · 2023
Later among the works it cites.
The art of saying no: Contextual noncompliance in language models
Faeze Brahman, Sachin Kumar, Vidhisha Balachandran, Pradeep Dasigi, Valentina Pyatkin, Abhilasha Ravichander, Sarah Wiegreffe, Nouha Dziri, Khyathi Chandu, Jack Hessel, et al · 2024
Closest in time.
Yu Ying Chiu, Liwei Jiang, Maria Antoniak, Chan Young Park, Shuyue Stella Li, Mehar Bhatia, Sahithya Ravi, Yulia Tsvetkov, Vered Shwartz, and Yejin Choi · 2024
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Cited alongside, same era.
Towards measuring the representation of subjective global opinions in language models
Esin Durmus, Karina Nyugen, Thomas I Liao, Nicholas Schiefer, Amanda Askell, Anton Bakhtin, Carol Chen, Zac Hatfield-Dodds, Danny Hernandez, Nicholas Joseph, et al · 2023
Cited alongside, same era.
Zero-shot faithful factual error correction
Kung-Hsiang Huang, Hou Pong Chan, and Heng Ji · 2023
Cited alongside, same era.
Kung-Hsiang Huang, Philippe Laban, A. R. Fabbri, Prafulla Kumar Choubey, Shafiq R. Joty, Caiming Xiong, and Chien-Sheng Wu · 2023
Cited alongside, same era.
Faking fake news for real fake news detection: Propaganda-loaded training data generation
Kung-Hsiang Huang, Kathleen McKeown, Preslav Nakov, Yejin Choi, and Heng Ji · 2023
Cited alongside, same era.
Beavertails: Towards improved safety alignment of llm via a human-preference dataset
Jiaming Ji, Mickel Liu, Josef Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Chen, Ruiyang Sun, Yizhou Wang, and Yaodong Yang · 2023
Cited alongside, same era.
ToxicChat: Unveiling hidden challenges of toxicity detection in real-world user-AI conversation
Zi Lin, Zihan Wang, Yongqi Tong, Yangkun Wang, Yuxin Guo, Yujia Wang, and Jingbo Shang · 2023
Cited alongside, same era.
Gpt-4 technical report
OpenAI · 2023
Cited alongside, same era.
Closest in time.
Alpacafarm: A simulation framework for methods that learn from human feedback
Yann Dubois, Chen Xuechen Li, Rohan Taori, Tianyi Zhang, Ishaan Gulrajani, Jimmy Ba, Carlos Guestrin, Percy S Liang, and Tatsunori B Hashimoto · 2024
Closest in time.
Bertaqa: How much do language models know about local culture?
Julen Etxaniz, Gorka Azkune, Aitor Soroa, Oier López de Lacalle, and Mikel Artetxe · 2024
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Massively multi-cultural knowledge acquisition & lm benchmarking
Yi Ren Fung, Ruining Zhao, Jae Doo, Chenkai Sun, and Heng Ji · 2024
Closest in time.
Huihan Li, Liwei Jiang, Nouha Dziri, Xiang Ren, and Yejin Choi · 2024
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Blend: A benchmark for llms on everyday knowledge in diverse cultures and languages
Junho Myung, Nayeon Lee, Yi Zhou, Jiho Jin, Rifki Afina Putri, Dimosthenis Antypas, Hsuvas Borkakoty, Eunsu Kim, Carla Pérez-Almendros, Abinew Ali Ayele, V’ictor Guti’errez-Basulto, Yazm’in Ib’anez-Garc’ia, Hwaran Lee, Shamsuddeen Hassan Muhammad, Kiwoong Park, Anar Rzayev, Nina White, Seid Muhie Yimam, Mohammad Taher Pilehvar, Nedjma Djouhra Ousidhoum, José Camacho-Collados, and Alice Oh · 2024
Closest in time.
Evaluating cultural and social awareness of llm web agents
Haoyi Qiu, A. R. Fabbri, Divyansh Agarwal, Kung-Hsiang Huang, Sarah Tan, Nanyun Peng, and Chien-Sheng Wu · 2024
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Valor-eval: Holistic coverage and faithfulness evaluation of large vision-language models
Haoyi Qiu, Wenbo Hu, Zi-Yi Dou, and Nanyun Peng · 2024
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Normad: A benchmark for measuring the cultural adaptability of large language models
Abhinav Rao, Akhila Yerukola, Vishwa Shah, Katharina Reinecke, and Maarten Sap · 2024
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Safer-instruct: Aligning language models with automated preference data
Taiwei Shi, Kai Chen, and Jieyu Zhao · 2024
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Culturebank: An online community-driven knowledge base towards culturally aware language technologies
Weiyan Shi, Ryan Li, Yutong Zhang, Caleb Ziems, Chunhua yu, Raya Horesh, Rog’erio Abreu de Paula, and Diyi Yang · 2024
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A roadmap to pluralistic alignment
Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, et al · 2024
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On prompt-driven safeguarding for large language models
Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, and Nanyun Peng · 2024
Closest in time.