Fetching the paper…
Reading the bibliography…
Large-scale language models are rapidly improving, performing well on a wide variety of tasks with little to no customization.
The Curious Case of Neural Text Degeneration
Ari Holtzman, Jan Buys, Li Du, Maxwell Forbes, and Yejin Choi. 2020 · 1904
Earlier work this paper cites.
Comparison of Diverse Decoding Methods from Conditional Language Models
Daphne Ippolito, Reno Kriz, Maria Kustikova, João Sedoc, and Chris Callison-Burch. 2019 · 1906
Earlier work this paper cites.
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
Nils Reimers and Iryna Gurevych. 2019 · 1908
Earlier work this paper cites.
CTRL: A Conditional Transformer Language Model for Controllable Generation
Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, and Richard Socher. 2019 · 1909
Earlier work this paper cites.
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
Mohammad Shoeybi, Mostofa Patwary, Raul Puri, Patrick LeGresley, Jared Casper, and Bryan Catanzaro. 2020 · 1909
Earlier work this paper cites.
DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter
Victor Sanh, Lysandre Debut, Julien Chaumond, and Thomas Wolf. 2020 · 1910
Earlier work this paper cites.
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang, Yao Zhao, Mohammad Saleh, and Peter J. Liu. 2020 · 1912
Earlier work this paper cites.
Discourse and cohension in expository text. In Proceedings of the 11th coference on Computational linguistics - . Association for Computational Linguistics
Allen B. Tucker, Sergei Nirenburg, and Victor Raskin. 1986 · 1986
Earlier work this paper cites.
Constructing inferences during narrative text comprehension
Arthur C. Graesser, Murray Singer, and Tom Trabasso. 1994 · 1994
Earlier work this paper cites.
Towards a Human-like Open-Domain Chatbot
Daniel Adiwardana, Minh-Thang Luong, David R. So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, and Quoc V. Le. 2020 · 2001
Earlier work this paper cites.
Language Models are Few-Shot Learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared 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 M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher 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 · 2005
Earlier work this paper cites.
Investigating the querying and browsing behavior of advanced search engine users. In Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval - SIGIR ’07 . ACM Press, Amsterdam, The Netherlands, 255
Ryen W. White and Dan Morris. 2007 · 2007
Earlier work this paper cites.
If beam search is the answer, what was the question?
Clara Meister, Tim Vieira, and Ryan Cotterell. 2021 · 2010
Earlier work this paper cites.
Creativity: Depth and Breadth
Barbara Tversky and Juliet Y. Chou. 2011 · 2010
Earlier work this paper cites.
Thematic analysis
Virginia Braun and Victoria Clarke. 2012 · 2012
Earlier work this paper cites.
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao, Adam Fisch, and Danqi Chen. 2021 · 2012
Earlier work this paper cites.
Boomerang Effects in Science Communication: How Motivated Reasoning and Identity Cues Amplify Opinion Polarization About Climate Mitigation Policies
P. Sol Hart and Erik C. Nisbet. 2012 · 2012
Earlier work this paper cites.
CTRLsum: Towards Generic Controllable Text Summarization
Junxian He, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, and Caiming Xiong. 2020 · 2012
Cited alongside, same era.
The COVID-19 Infodemic: Twitter versus Facebook
Kai-Cheng Yang, Francesco Pierri, Pik-Mai Hui, David Axelrod, Christopher Torres-Lugo, John Bryden, and Filippo Menczer. 2020 · 2012
Cited alongside, same era.
Story and science: How providers and parents can utilize storytelling to combat anti-vaccine misinformation
Ashley Shelby and Karen Ernst. 2013 · 2013
Cited alongside, same era.
Smart Reply: Automated Response Suggestion for Email. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining . ACM, San Francisco California USA, 955–964
Anjuli Kannan, Karol Kurach, Sujith Ravi, Tobias Kaufmann, Andrew Tomkins, Balint Miklos, Greg Corrado, Laszlo Lukacs, Marina Ganea, Peter Young, and Vivek Ramavajjala. 2016 · 2016
Cited alongside, same era.
Post-normal science communication: exploring the blurring boundaries of science and journalism
Michael Brüggemann, Ines Lörcher, and Stefanie Walter. 2020 · 2020
Later among the works it cites.
Mental Models of AI Agents in a Cooperative Game Setting. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . ACM, Honolulu HI USA, 1–12
Katy Ilonka Gero, Zahra Ashktorab, Casey Dugan, Qian Pan, James Johnson, Werner Geyer, Maria Ruiz, Sarah Miller, David R. Millen, Murray Campbell, Sadhana Kumaravel, and Wei Zhang. 2020 · 2020
Later among the works it cites.
"I run the world’s largest historical outreach project and it’s on a cesspool of a website." Moderating a Public Scholarship Site on Reddit: A Case Study of r/AskHistorians
Sarah A. Gilbert. 2020 · 2020
Later among the works it cites.
Speech and Language Processing
Dan Jurafsky and James H. Martin. 2020 · 2020
Later among the works it cites.
Exploring the Effects of Technological Writing Assistance for Support Providers in Online Mental Health Community. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems . ACM, Honolulu HI USA, 1–15
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Commonsense Knowledge Base Completion. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) . Association for Computational Linguistics, Berlin, Germany, 1445–1455
Xiang Li, Aynaz Taheri, Lifu Tu, and Kevin Gimpel. 2016 · 2016
Cited alongside, same era.
Structure strategy interventions: Increasing reading comprehension of expository text
Bonnie J. F. Meyer and Melissa N. Ray. 2017 · 2017
Cited alongside, same era.
Domain-independent search expertise: Gaining knowledge in query formulation through guided practice
Catherine L. Smith. 2017 · 2017
Cited alongside, same era.
How Novelists Use Generative Language Models: An Exploratory User Study. In 23rd International Conference on Intelligent User Interfaces . ACM
Alex Calderwood, Vivian Qiu, Katy Ilonka Gero, and Lydia B Chilton. 2018 · 2018
Cited alongside, same era.
Hierarchical Neural Story Generation
Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
Cited alongside, same era.
Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models
Ashwin K. Vijayakumar, Michael Cogswell, Ramprasath R. Selvaraju, Qing Sun, Stefan Lee, David Crandall, and Dhruv Batra. 2018 · 2018
Cited alongside, same era.
Exploring People’s Attitudes and Behaviors Toward Careful Information Seeking in Web Search. In Proceedings of the 27th ACM International Conference on Information and Knowledge Management . ACM, Torino Italy, 963–972
Takehiro Yamamoto, Yusuke Yamamoto, and Sumio Fujita. 2018 · 2018
Cited alongside, same era.
Gmail Smart Compose: Real-Time Assisted Writing. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining . ACM, Anchorage AK USA, 2287–2295
Mia Xu Chen, Benjamin N. Lee, Gagan Bansal, Yuan Cao, Shuyuan Zhang, Justin Lu, Jackie Tsay, Yinan Wang, Andrew M. Dai, Zhifeng Chen, Timothy Sohn, and Yonghui Wu. 2019 · 2019
Cited alongside, same era.
Zhenhui Peng, Qingyu Guo, Ka Wing Tsang, and Xiaojuan Ma. 2020 · 2020
Later among the works it cites.
Transformers: State-of-the-Art Natural Language Processing. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations . Association for Computational Linguistics, Online, 38–45
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
Later among the works it cites.
AI Dungeon
[n.d.] · 2021
Closest in time.
SudoWrite
[n.d.] · 2021
Closest in time.
Program Synthesis with Large Language Models
Jacob Austin, Augustus Odena, Maxwell Nye, Maarten Bosma, Henryk Michalewski, David Dohan, Ellen Jiang, Carrie Cai, Michael Terry, Quoc Le, and Charles Sutton. 2021 · 2021
Closest in time.
Jack Bandy and Nicholas Vincent. 2021 · 2021
Closest in time.
On the Dangers of Stochastic Parrots: Can Language Models Be Too Big?. In Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency . ACM, Virtual Event Canada, 610–623
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
Closest in time.
Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets
Isaac Caswell, Julia Kreutzer, Lisa Wang, Ahsan Wahab, Daan van Esch, Nasanbayar Ulzii-Orshikh, Allahsera Tapo, Nishant Subramani, Artem Sokolov, Claytone Sikasote, Monang Setyawan, Supheakmungkol Sarin, Sokhar Samb, Benoît Sagot, Clara Rivera, Annette Rios, Isabel Papadimitriou, Salomey Osei, Pedro Javier Ortiz Suárez, Iroro Orife, Kelechi Ogueji, Rubungo Andre Niyongabo, Toan Q. Nguyen, Mathias Müller, André Müller, Shamsuddeen Hassan Muhammad, Nanda Muhammad, Ayanda Mnyakeni, Jamshidbek Mirzakhalov, Tapiwanashe Matangira, Colin Leong, Nze Lawson, Sneha Kudugunta, Yacine Jernite, Mathias Jenny, Orhan Firat, Bonaventure F. P. Dossou, Sakhile Dlamini, Nisansa de Silva, Sakine Çabuk Ballı, Stella Biderman, Alessia Battisti, Ahmed Baruwa, Ankur Bapna, Pallavi Baljekar, Israel Abebe Azime, Ayodele Awokoya, Duygu Ataman, Orevaoghene Ahia, Oghenefego Ahia, Sweta Agrawal, and Mofetoluwa Adeyemi. 2021 · 2021
Closest in time.
MERMAID: Metaphor Generation with Symbolism and Discriminative Decoding. 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, 4250–4261
Tuhin Chakrabarty, Xurui Zhang, Smaranda Muresan, and Nanyun Peng. 2021 · 2021
Closest in time.
Wordcraft: a Human-AI Collaborative Editor for Story Writing
Andy Coenen, Luke Davis, Daphne Ippolito, Emily Reif, and Ann Yuan. 2021 · 2021
Closest in time.
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li and Percy Liang. 2021 · 2021
Closest in time.
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Laria Reynolds and Kyle McDonell. 2021 · 2021
Closest in time.