Fetching the paper…
Reading the bibliography…
Large language models (LMs) offer unprecedented language generation capabilities and exciting opportunities for interaction design.
Language Models are Few-Shot Learners. In Advances in Neural Information Processing Systems , H. Larochelle, M. Ranzato, R. Hadsell, M. F. Balcan, and H. Lin (Eds.), Vol. 33. Curran Associates, Inc., 1877–1901
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D 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 Ziegler, Jeffrey Wu, Clemens Winter, Chris 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 · 1901
Earlier work this paper cites.
The reflective practitioner: How professionals think in action . Vol. 5126
Donald A Schön. 1984 · 1984
Earlier work this paper cites.
Technology Affordances. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (New Orleans, Louisiana, USA) (CHI ’91) . ACM, New York, NY, USA, 79–84
William W. Gaver. 1991 · 1991
Earlier work this paper cites.
Collective scaffolding in a second language
Richard Donato. 1994 · 1994
Earlier work this paper cites.
An integrative model of organizational trust
Roger C Mayer, James H Davis, and F David Schoorman. 1995 · 1995
Earlier work this paper cites.
Design through matchmaking: technology in search of users
Sara Bly and Elizabeth F Churchill. 1999 · 1999
Earlier work this paper cites.
Patterns of interaction in ESL pair work
Neomy Storch. 2002 · 2002
Earlier work this paper cites.
Collaborative writing: Product, process, and students’ reflections
Neomy Storch. 2005 · 2005
Earlier work this paper cites.
On the Generation of Medical Dialogues for COVID-19
Wenmian Yang, Guangtao Zeng, Bowen Tan, Zeqian Ju, Subrato Chakravorty, Xuehai He, Shu Chen, Xingyi Yang, Qingyang Wu, Zhou Yu, Eric P. Xing, and Pengtao Xie. 2020b · 2005
Earlier work this paper cites.
Abdullah’s blogging: A generation 1.5 student enters the blogosphere
Joel Bloch. 2007 · 2007
Earlier work this paper cites.
Abdullah’s blogging: A generation 1.5 student enters the blogosphere
Joel Boch. 2007 · 2007
Earlier work this paper cites.
The anatomy of prototypes: Prototypes as filters, prototypes as manifestations of design ideas
Youn-Kyung Lim, Erik Stolterman, and Josh Tenenberg. 2008 · 2008
Earlier work this paper cites.
Sketching user experiences: getting the design right and the right design
Bill Buxton. 2010 · 2010
Earlier work this paper cites.
Beyond English-Centric Multilingual Machine Translation
Angela Fan, Shruti Bhosale, Holger Schwenk, Zhiyi Ma, Ahmed El-Kishky, Siddharth Goyal, Mandeep Baines, Onur Celebi, Guillaume Wenzek, Vishrav Chaudhary, Naman Goyal, Tom Birch, Vitaliy Liptchinsky, Sergey Edunov, Edouard Grave, Michael Auli, and Armand Joulin. 2020 · 2010
Earlier work this paper cites.
The Wekinator: a system for real-time, interactive machine learning in music. In Proceedings of The Eleventh International Society for Music Information Retrieval Conference (ISMIR 2010)(Utrecht)
Rebecca Fiebrink and Perry R Cook. 2010 · 2010
Earlier work this paper cites.
How to support designers in getting hold of the immaterial material of software. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems . ACM, 2513–2522
Fatih Kursat Ozenc, Miso Kim, John Zimmerman, Stephen Oney, and Brad Myers. 2010 · 2010
Earlier work this paper cites.
Write Here, Write Now! An Experimental Study of Group Maintenance in Collaborative Writing. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (Paris, France) (CHI ’13) . Association for Computing Machinery, New York, NY, USA, 961–970
Jeremy Birnholtz, Stephanie Steinhardt, and Antonella Pavese. 2013 · 2013
Earlier work this paper cites.
Examining the mediational means in collaborative writing: Case studies of undergraduate ESL students in business courses
Luxin Yang. 2014 · 2014
Earlier work this paper cites.
A Diversity-Promoting Objective Function for Neural Conversation Models. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, San Diego, California, 110–119
Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, and Bill Dolan. 2016 · 2016
Earlier work this paper cites.
Learning Language Games through Interaction. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Berlin, Germany, 2368–2378
Sida I. Wang, Percy Liang, and Christopher D. Manning. 2016 · 2016
Earlier work this paper cites.
Naturalizing a Programming Language via Interactive Learning. In Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Vancouver, Canada, 929–938
Sida I. Wang, Samuel Ginn, Percy Liang, and Christopher D. Manning. 2017 · 2017
Earlier work this paper cites.
Web-based collaborative writing in L2 contexts: Methodological insights from text mining
Soobin Yim and Mark Warschauer. 2017 · 2017
Earlier work this paper cites.
Creative Writing with a Machine in the Loop: Case Studies on Slogans and Stories. In 23rd International Conference on Intelligent User Interfaces (Tokyo, Japan) (IUI ’18) . Association for Computing Machinery, New York, NY, USA, 329–340
Elizabeth Clark, Anne Spencer Ross, Chenhao Tan, Yangfeng Ji, and Noah A. Smith. 2018 · 2018
Earlier work this paper cites.
Know What You Don’t Know: Unanswerable Questions for SQuAD. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) . Association for Computational Linguistics, Melbourne, Australia, 784–789
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
Earlier work this paper cites.
Automated Assistance for Creative Writing with an RNN Language Model. In Proceedings of the 23rd International Conference on Intelligent User Interfaces Companion (Tokyo, Japan) (IUI ’18 Companion) . Association for Computing Machinery, New York, NY, USA, Article 21, 2 pages
Melissa Roemmele and Andrew S. Gordon. 2018 · 2018
Cited alongside, same era.
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding. In Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP . Association for Computational Linguistics, Brussels, Belgium, 353–355
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2018 · 2018
Cited alongside, same era.
Investigating How Experienced UX Designers Effectively Work with Machine Learning. In Proceedings of the 2018 Designing Interactive Systems Conference (Hong Kong, China) (DIS ’18) . ACM, New York, NY, USA, 585–596
Qian Yang, Alex Scuito, John Zimmerman, Jodi Forlizzi, and Aaron Steinfeld. 2018 · 2018
Cited alongside, same era.
Collaborative Writing and Text Quality in Google Docs
Persistent Anti-Muslim Bias in Large Language Models
Abubakar Abid, Maheen Farooqi, and James Zou. 2021 · 2021
Later among the works it cites.
The Impact of Multiple Parallel Phrase Suggestions on Email Input and Composition Behaviour of Native and Non-Native English Writers
Daniel Buschek, Martin Zürn, and Malin Eiband. 2021 · 2021
Later among the works it cites.
Evaluating Large Language Models Trained on Code
Mark Chen, Jerry Tworek, Heewoo Jun, Qiming Yuan, Henrique Ponde de Oliveira Pinto, Jared Kaplan, Harri Edwards, Yuri Burda, Nicholas Joseph, Greg Brockman, Alex Ray, Raul Puri, Gretchen Krueger, Michael Petrov, Heidy Khlaaf, Girish Sastry, Pamela Mishkin, Brooke Chan, Scott Gray, Nick Ryder, Mikhail Pavlov, Alethea Power, Lukasz Kaiser, Mohammad Bavarian, Clemens Winter, Philippe Tillet, Felipe Petroski Such, Dave Cummings, Matthias Plappert, Fotios Chantzis, Elizabeth Barnes, Ariel Herbert-Voss, William Hebgen Guss, Alex Nichol, Alex Paino, Nikolas Tezak, Jie Tang, Igor Babuschkin, Suchir Balaji, Shantanu Jain, William Saunders, Christopher Hesse, Andrew N. Carr, Jan Leike, Josh Achiam, Vedant Misra, Evan Morikawa, Alec Radford, Matthew Knight, Miles Brundage, Mira Murati, Katie Mayer, Peter Welinder, Bob McGrew, Dario Amodei, Sam McCandlish, Ilya Sutskever, and Wojciech Zaremba. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Zsuzsanna I Abrams. 2019 · 2019
Cited alongside, same era.
Metaphoria: An algorithmic companion for metaphor creation. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems . 1–12
Katy Ilonka Gero and Lydia B Chilton. 2019 · 2019
Cited alongside, same era.
Unifying Human and Statistical Evaluation for Natural Language Generation. In Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) . Association for Computational Linguistics, Minneapolis, Minnesota, 1689–1701
Tatsunori B. Hashimoto, Hugh Zhang, and Percy Liang. 2019 · 2019
Cited alongside, same era.
Language Models are Unsupervised Multitask Learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, and Ilya Sutskever. 2019 · 2019
Cited alongside, same era.
Is Now A Good Time? An Empirical Study of Vehicle-Driver Communication Timing
Rob Semmens, Nikolas Martelaro, Pushyami Kaveti, Simon Stent, and Wendy Ju. 2019 · 2019
Cited alongside, same era.
Best practices for the human evaluation of automatically generated text. In Proceedings of the 12th International Conference on Natural Language Generation . Association for Computational Linguistics, Tokyo, Japan, 355–368
Chris van der Lee, Albert Gatt, Emiel van Miltenburg, Sander Wubben, and Emiel Krahmer. 2019 · 2019
Cited alongside, same era.
Sketching NLP: A Case Study of Exploring the Right Things To Design with Language Intelligence. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Glasgow, Scotland Uk) (CHI ’19) . ACM, New York, NY, USA, Article 185, 12 pages
Qian Yang, Justin Cranshaw, Saleema Amershi, Shamsi T. Iqbal, and Jaime Teevan. 2019 · 2019
Cited alongside, same era.
How Novelists Use Generative Language Models: An Exploratory User Study. In Proceedings of the Workshops on Human-AI Co-Creation with Generative Models and User-Aware Conversational Agents co-located with 25th International Conference on Intelligent User Interfaces . Association for Computing Machinery
Alex Calderwood, Vivian Qiu, Katy Ilonka Gero, and Lydia B Chilton. 2020 · 2020
Cited alongside, same era.
Teachable Machine: Approachable Web-Based Tool for Exploring Machine Learning Classification. In Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems (Honolulu, HI, USA) (CHI EA ’20) . Association for Computing Machinery, New York, NY, USA, 1–8
Michelle Carney, Barron Webster, Irene Alvarado, Kyle Phillips, Noura Howell, Jordan Griffith, Jonas Jongejan, Amit Pitaru, and Alexander Chen. 2020 · 2020
Cited alongside, same era.
Choose Your Own Adventure: Paired Suggestions in Collaborative Writing for Evaluating Story Generation Models. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, Online, 3566–3575
Elizabeth Clark and Noah A. Smith. 2021 · 2021
Later among the works it cites.
Wordcraft: a Human-AI Collaborative Editor for Story Writing
Andy Coenen, Luke Davis, Daphne Ippolito, Emily Reif, and Ann Yuan. 2021 · 2021
Later among the works it cites.
Look at Me When I Talk to You: A Video Dataset to Enable Voice Assistants to Recognize Errors
Andrea Cuadra, Hansol Lee, Jason Cho, and Wendy Ju. 2021 · 2021
Later among the works it cites.
Scarecrow: A Framework for Scrutinizing Machine Text
Yao Dou, Maxwell Forbes, Rik Koncel-Kedziorski, Noah A Smith, and Yejin Choi. 2021 · 2021
Later among the works it cites.
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics. In Proceedings of the 1st Workshop on Natural Language Generation, Evaluation, and Metrics (GEM 2021) . Association for Computational Linguistics, Online, 96–120
Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Anuoluwapo Aremu, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh Dhole, Wanyu Du, Esin Durmus, Ondřej Dušek, Chris Chinenye Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Mihir Kale, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Andre Niyongabo Rubungo, Salomey Osei, Ankur Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, and Jiawei Zhou. 2021 · 2021
Later among the works it cites.
Measuring Massive Multitask Language Understanding. In 9th International Conference on Learning Representations, ICLR 2021, Virtual Event, Austria, May 3-7, 2021 . OpenReview.net
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, Dawn Song, and Jacob Steinhardt. 2021 · 2021
Later among the works it cites.
Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B, the World’s Largest and Most Powerful Generative Language Model
Paresh Kharya and Ali Alvi. 2021 · 2021
Later among the works it cites.
Dynabench: Rethinking Benchmarking in NLP. In Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies . Association for Computational Linguistics, Online, 4110–4124
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, and Adina Williams. 2021 · 2021
Later among the works it cites.
Argumentative Essays
Purdue Online Writing Lab. 2021 · 2021
Later among the works it cites.
Jurassic-1: Technical Details and Evaluation
Opher Lieber, Or Sharir, Barak Lenz, and Yoav Shoham. 2021 · 2021
Later among the works it cites.
Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, and Graham Neubig. 2021 · 2021
Later among the works it cites.
300 Questions and Images to Inspire Argument Writing
The Learning Network. 2021 · 2021
Later among the works it cites.
Scaling Language Models: Methods, Analysis & Insights from Training Gopher
Jack W. Rae, Sebastian Borgeaud, Trevor Cai, Katie Millican, Jordan Hoffmann, Francis Song, John Aslanides, Sarah Henderson, Roman Ring, Susannah Young, Eliza Rutherford, Tom Hennigan, Jacob Menick, Albin Cassirer, Richard Powell, George van den Driessche, Lisa Anne Hendricks, Maribeth Rauh, Po-Sen Huang, Amelia Glaese, Johannes Welbl, Sumanth Dathathri, Saffron Huang, Jonathan Uesato, John Mellor, Irina Higgins, Antonia Creswell, Nat McAleese, Amy Wu, Erich Elsen, Siddhant Jayakumar, Elena Buchatskaya, David Budden, Esme Sutherland, Karen Simonyan, Michela Paganini, Laurent Sifre, Lena Martens, Xiang Lorraine Li, Adhiguna Kuncoro, Aida Nematzadeh, Elena Gribovskaya, Domenic Donato, Angeliki Lazaridou, Arthur Mensch, Jean-Baptiste Lespiau, Maria Tsimpoukelli, Nikolai Grigorev, Doug Fritz, Thibault Sottiaux, Mantas Pajarskas, Toby Pohlen, Zhitao Gong, Daniel Toyama, Cyprien de Masson d’Autume, Yujia Li, Tayfun Terzi, Vladimir Mikulik, Igor Babuschkin, Aidan Clark, Diego de Las Casas, Aurelia Guy, Chris Jones, James Bradbury, Matthew Johnson, Blake Hechtman, Laura Weidinger, Iason Gabriel, William Isaac, Ed Lockhart, Simon Osindero, Laura Rimell, Chris Dyer, Oriol Vinyals, Kareem Ayoub, Jeff Stanway, Lorrayne Bennett, Demis Hassabis, Koray Kavukcuoglu, and Geoffrey Irving. 2021 · 2021
Later among the works it cites.
Challenges and Opportunities in NLP Benchmarking
Sebastian Ruder. 2021 · 2021
Later among the works it cites.
Disability-First Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors
Lida Theodorou, Daniela Massiceti, Luisa Zintgraf, Simone Stumpf, Cecily Morrison, Edward Cutrell, Matthew Tobias Harris, and Katja Hofmann. 2021 · 2021
Later among the works it cites.
GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model
Ben Wang and Aran Komatsuzaki. 2021 · 2021
Later among the works it cites.
An Evaluation of Generative Pre-Training Model-based Therapy Chatbot for Caregivers
Lu Wang, Munif Ishad Mujib, Jake Williams, George Demiris, and Jina Huh-Yoo. 2021 · 2021
Later among the works it cites.
Teach Me to Explain: A Review of Datasets for Explainable NLP
Sarah Wiegreffe and Ana Marasović. 2021 · 2021
Later among the works it cites.
WritingPrompts. 2021
2021
Later among the works it cites.
Tongshuang Wu, Michael Terry, and Carrie J. Cai. 2021 · 2021
Later among the works it cites.