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Recent advancements in Large Language Models empower them to follow freeform instructions, including imitating generic or specific demographic personas in conversations.
Language models are few-shot learners
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Automatically neutralizing subjective bias in text
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A pre-training based personalized dialogue generation model with persona-sparse data
Yinhe Zheng, Rongsheng Zhang, Xiaoxi Mao, and Minlie Huang. 2019 · 1911
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An algorithm for the machine calculation of complex Fourier series
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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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Children’s use of the internet: Reflections on the emerging research agenda
Sonia Livingstone. 2003 · 2003
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Unsupervised construction of large paraphrase corpora: Exploiting massively parallel news sources
Bill Dolan, Chris Quirk, and Chris Brockett. 2004 · 2004
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ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
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A framework for learning predictive structures from multiple tasks and unlabeled data
Rie Kubota Ando and Tong Zhang. 2005 · 2005
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Conditioned natural language generation using only unconditioned language model: An exploration
Fan-Keng Sun and Cheng-I Lai. 2020 · 2011
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Re-examining machine translation metrics for paraphrase identification
Nitin Madnani, Joel Tetreault, and Martin Chodorow. 2012 · 2012
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Vader: A parsimonious rule-based model for sentiment analysis of social media text
Clayton J. Hutto and Eric Gilbert. 2014 · 2014
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A diversity-promoting objective function for neural conversation models
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016a · 2016
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Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, and Jianfeng Gao. 2016c · 2016
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The problem with bias: From allocative to representational harms in machine learning
Solon Barocas, Kate Crawford, Aaron Shapiro, and Hanna Wallach. 2017 · 2017
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The trouble with bias
Kate Crawford. 2017 · 2017
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First quora dataset release: Question pairs
Shankar Iyer, Nikhil Dandekar, Kornél Csernai, et al. 2017 · 2017
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ParlAI: A dialog research software platform
Alexander Miller, Will Feng, Dhruv Batra, Antoine Bordes, Adam Fisch, Jiasen Lu, Devi Parikh, and Jason Weston. 2017 · 2017
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Conversational ai: The science behind the alexa prize
Ashwin Ram, Rohit Prasad, Chandra Khatri, Anushree Venkatesh, Raefer Gabriel, Qing Liu, Jeff Nunn, Behnam Hedayatnia, Ming Cheng, Ashish Nagar, Eric King, Kate Bland, Amanda Wartick, Yi Pan, Han Song, Sk Jayadevan, Gene Hwang, and Art Pettigrue. 2017 · 2017
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Measuring and mitigating unintended bias in text classification
Lucas Dixon, John Li, Jeffrey Sorensen, Nithum Thain, and Lucy Vasserman. 2018 · 2018
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Controllable abstractive summarization
Angela Fan, David Grangier, and Michael Auli. 2018 · 2018
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Towards automated customer support
Momchil Hardalov, Ivan Koychev, and Preslav Nakov. 2018 · 2018
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Adversarial example generation with syntactically controlled paraphrase networks
Mohit Iyyer, John Wieting, Kevin Gimpel, and Luke Zettlemoyer. 2018 · 2018
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Detecting offensive content in open-domain conversations using two stage semi-supervision
Chandra Khatri, Behnam Hedayatnia, Rahul Goel, Anu Venkatesh, Raefer Gabriel, and Arindam Mandal. 2018 · 2018
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Training millions of personalized dialogue agents
Pierre-Emmanuel Mazaré, Samuel Humeau, Martin Raison, and Antoine Bordes. 2018 · 2018
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Polite dialogue generation without parallel data
Tong Niu and Mohit Bansal. 2018 · 2018
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Assigning personality/profile to a chatting machine for coherent conversation generation
Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, and Xiaoyan Zhu. 2018 · 2018
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Safe spaces and safe places: Unpacking technology-mediated experiences of safety and harm with transgender people
Morgan Klaus Scheuerman, Stacy M. Branham, and Foad Hamidi. 2018 · 2018
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Let’s talk about race: Identity, chatbots, and ai
Ari Schlesinger, Kenton P. O’Hara, and Alex S. Taylor. 2018 · 2018
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Personalizing dialogue agents: I have a dog, do you have pets too?
The power of scale for parameter-efficient prompt tuning
Brian Lester, Rami Al-Rfou, and Noah Constant. 2021 · 2021
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Noisy channel language model prompting for few-shot text classification
Sewon Min, Mike Lewis, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2021 · 2021
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StereoSet: Measuring stereotypical bias in pretrained language models
Moin Nadeem, Anna Bethke, and Siva Reddy. 2021 · 2021
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Comparative study of twitter sentiment on covid-19 tweets
Anu J Nair, G Veena, and Aadithya Vinayak. 2021 · 2021
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Learning how to ask: Querying LMs with mixtures of soft prompts
Guanghui Qin and Jason Eisner. 2021 · 2021
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Prompt programming for large language models: Beyond the few-shot paradigm
Laria Reynolds and Kyle McDonell. 2021 · 2021
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Saizheng Zhang, Emily Dinan, Jack Urbanek, Arthur Szlam, Douwe Kiela, and Jason Weston. 2018 · 2018
Cited alongside, same era.
Identifying and reducing gender bias in word-level language models
Shikha Bordia and Samuel R. Bowman. 2019 · 2019
Cited alongside, same era.
A multi-task approach for disentangling syntax and semantics in sentence representations
Mingda Chen, Qingming Tang, Sam Wiseman, and Kevin Gimpel. 2019b · 2019
Cited alongside, same era.
Bots acting like humans: Understanding and preventing harm
F. Daniel, C. Cappiello, and B. Benatallah. 2019 · 2019
Cited alongside, same era.
Equalizing gender bias in neural machine translation with word embeddings techniques
Joel Escudé Font and Marta R. Costa-jussà. 2019 · 2019
Cited alongside, same era.
Reducing gender bias in word-level language models with a gender-equalizing loss function
Yusu Qian, Urwa Muaz, Ben Zhang, and Jae Won Hyun. 2019 · 2019
Cited alongside, same era.
Conversational ai: Social and ethical considerations
Elayne Ruane, Abeba Birhane, and Anthony Ventresque. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
Recipes for building an open-domain chatbot
Stephen Roller, Emily Dinan, Naman Goyal, Da Ju, Mary Williamson, Yinhan Liu, Jing Xu, Myle Ott, Eric Michael Smith, Y-Lan Boureau, and Jason Weston. 2021 · 2021
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“nice try, kiddo”: Investigating ad hominems in dialogue responses
Emily Sheng, Kai-Wei Chang, Prem Natarajan, and Nanyun Peng. 2021b · 2021
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BoB: BERT over BERT for training persona-based dialogue models from limited personalized data
Haoyu Song, Yan Wang, Kaiyan Zhang, Wei-Nan Zhang, and Ting Liu. 2021 · 2021
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Aesop: Paraphrase generation with adaptive syntactic control
Jiao Sun, Xuezhe Ma, and Nanyun Peng. 2021 · 2021
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Key qualities of conversational chatbots – the peace model
Ekaterina Svikhnushina and Pearl Pu. 2021 · 2021
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HypoGen: Hyperbole generation with commonsense and counterfactual knowledge
Yufei Tian, Arvind krishna Sridhar, and Nanyun Peng. 2021 · 2021
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Expanding, retrieving and infilling: Diversifying cross-domain question generation with flexible templates
Xiaojing Yu and Anxiao Jiang. 2021 · 2021
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Constitutional ai: Harmlessness from ai feedback
Yuntao Bai, Saurav Kadavath, Sandipan Kundu, Amanda Askell, Jackson Kernion, Andy Jones, Anna Chen, Anna Goldie, Azalia Mirhoseini, Cameron McKinnon, Carol Chen, Catherine Olsson, Christopher Olah, Danny Hernandez, Dawn Drain, Deep Ganguli, Dustin Li, Eli Tran-Johnson, Ethan Perez, Jamie Kerr, Jared Mueller, Jeffrey Ladish, Joshua Landau, Kamal Ndousse, Kamile Lukosuite, Liane Lovitt, Michael Sellitto, Nelson Elhage, Nicholas Schiefer, Noemi Mercado, Nova DasSarma, Robert Lasenby, Robin Larson, Sam Ringer, Scott Johnston, Shauna Kravec, Sheer El Showk, Stanislav Fort, Tamera Lanham, Timothy Telleen-Lawton, Tom Conerly, Tom Henighan, Tristan Hume, Samuel R. Bowman, Zac Hatfield-Dodds, Ben Mann, Dario Amodei, Nicholas Joseph, Sam McCandlish, Tom Brown, and Jared Kaplan. 2022 · 2022
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TweetNLP: Cutting-edge natural language processing for social media
Jose Camacho-collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa Anke, Fangyu Liu, and Eugenio Martínez Cámara. 2022 · 2022
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On measures of biases and harms in NLP
Sunipa Dev, Emily Sheng, Jieyu Zhao, Aubrie Amstutz, Jiao Sun, Yu Hou, Mattie Sanseverino, Jiin Kim, Akihiro Nishi, Nanyun Peng, and Kai-Wei Chang. 2022 · 2022
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Unsupervised syntactically controlled paraphrase generation with abstract meaning representations
Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, and A. G. Galstyan. 2022 · 2022
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A new generation of perspective api: Efficient multilingual character-level transformers
Alyssa Lees, Vinh Q. Tran, Yi Tay, Jeffrey Sorensen, Jai Gupta, Donald Metzler, and Lucy Vasserman. 2022 · 2022
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TimeLMs: Diachronic language models from Twitter
Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, and Jose Camacho-collados. 2022 · 2022
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Introducing chatgpt
OpenAI. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L. Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, John Schulman, Jacob Hilton, Fraser Kelton, Luke E. Miller, Maddie Simens, Amanda Askell, Peter Welinder, Paul Francis Christiano, Jan Leike, and Ryan J. Lowe. 2022 · 2022
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“I’m sorry to hear that”: Finding new biases in language models with a holistic descriptor dataset
Eric Michael Smith, Melissa Hall, Melanie Kambadur, Eleonora Presani, and Adina Williams. 2022 · 2022
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SPoT: Better frozen model adaptation through soft prompt transfer
Tu Vu, Brian Lester, Noah Constant, Rami Al-Rfou’, and Daniel Cer. 2022 · 2022
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Stability ai launches the first of its stablelm suite of language models
Stability AI. 2023 · 2023
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Falcon-40B: an open large language model with state-of-the-art performance
Ebtesam Almazrouei, Hamza Alobeidli, Abdulaziz Alshamsi, Alessandro Cappelli, Ruxandra Cojocaru, Merouane Debbah, Etienne Goffinet, Daniel Heslow, Julien Launay, Quentin Malartic, Badreddine Noune, Baptiste Pannier, and Guilherme Penedo. 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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Toxicity in chatgpt: Analyzing persona-assigned language models
A. Deshpande, Vishvak S. Murahari, Tanmay Rajpurohit, A. Kalyan, and Karthik Narasimhan. 2023 · 2023
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In-context impersonation reveals large language models’ strengths and biases
Leonard Salewski, Stephan Alaniz, Isabel Rio-Torto, Eric Schulz, and Zeynep Akata. 2023 · 2023
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Stanford alpaca: An instruction-following llama 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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