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Some claim language models understand us.
Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference
R. Thomas McCoy, Ellie Pavlick, and Tal Linzen. 2019 · 1902
Earlier work this paper cites.
Environmental drivers of systematicity and generalization in a situated agent
Felix Hill, Andrew Lampinen, Rosalia Schneider, Stephen Clark, Matthew Botvinick, James L. McClelland, and Adam Santoro. 2020 · 1910
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Intelligent Machinery
Alan Turing. 1948 · 1948
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Computing Machinery and Intelligence
Alan Turing. 1950 · 1950
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Artificial intelligence meets natural stupidity
D. McDermott. 1976 · 1976
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Computer power and human reason : from judgment to calculation
Joseph Weizenbaum. 1976 · 1976
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Metaphors we live by
George Lakoff and Mark Johnson. 1980 · 1980
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Minds, brains, and programs
John R. Searle. 1980 · 1980
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Studies in the way of words
H. P. (Herbert Paul) Grice. 1989 · 1989
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Could a Machine Think?
Paul M Churchland and Patricia Smith Churchland. 1990 · 1990
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The symbol grounding problem
Stevan Harnad. 1990 · 1990
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Annual Minsky Loebner Prize Revocation Prize 1995 Announcement
Marvin Minsky. 1995 · 1995
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The CHILDES Project: Tools for Analyzing Talk
Brian MacWhinney. 2000 · 2000
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Scaling Laws for Neural Language Models
Jared Kaplan, Sam McCandlish, Tom Henighan, Tom B. Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei. 2020 · 2001
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Constructing a language
Michael Tomasello. 2003 · 2003
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Yonatan Bisk, Ari Holtzman, Jesse Thomason, Jacob Andreas, Yoshua Bengio, Joyce Chai, Mirella Lapata, Angeliki Lazaridou, Jonathan May, Aleksandr Nisnevich, Nicolas Pinto, and Joseph Turian. 2020 · 2004
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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
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The singularity is near: When humans transcend biology
Ray Kurzweil. 2005 · 2005
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Grounded Cognition
Lawrence W. Barsalou. 2008 · 2008
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Mothers and others: the evolutionary origins of mutual understanding
Sarah Blaffer Hrdy. 2009 · 2009
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Robots should be slaves
Joanna J. Bryson. 2010 · 2010
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A User’s Guide to Thought and Meaning
Ray Jackendoff, Neil Cohn, and Bill Griffith. 2012 · 2012
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Surfaces and essences: analogy as the fuel and fire of thinking
Douglas R. Hofstadter and Emmanuel Sander. 2013 · 2013
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Superintelligence: paths, dangers, strategies , first edition edition
Nick Bostrom. 2014 · 2014
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Mirror reading can reverse the flow of time
Daniel Casasanto and Roberto Bottini. 2014 · 2014
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Compositionality
Adele E. Goldberg. 2015 · 2015
Earlier work this paper cites.
The Impact of Listener Gaze on Predicting Reference Resolution
Nikolina Koleva, Martín Villalba, Maria Staudte, and Alexander Koller. 2015 · 2015
Earlier work this paper cites.
Beyond concepts: unicepts, language, and natural information , first edition edition
Ruth Garrett Millikan. 2017 · 2017
Cited alongside, same era.
Life 3.0: Being Human in the Age of Artificial Intelligence , 1st edition edition
Max Tegmark. 2017 · 2017
Cited alongside, same era.
The developing infant creates a curriculum for statistical learning
Linda B. Smith, Swapnaa Jayaraman, Elizabeth Clerkin, and Chen Yu. 2018 · 2018
Cited alongside, same era.
Artificial intelligence: a guide for thinking humans , first edition. edition
Melanie Mitchell. 2019 · 2019
Cited alongside, same era.
Reexamining the Verbal Environments of Children From Different Socioeconomic Backgrounds
Douglas E. Sperry, Linda L. Sperry, and Peggy J. Miller. 2019 · 2019
Cited alongside, same era.
The Bitter Lesson
Richard Sutton. 2019 · 2019
Artificial intelligence: a modern approach , fourth edition edition
Stuart J. Russell and Peter Norvig. 2021 · 2021
Later among the works it cites.
Deep Learning’s Diminishing Returns: The Cost of Improvement is Becoming Unsustainable
Neil C. Thompson, Kristjan Greenewald, Keeheon Lee, and Gabriel F. Manso. 2021 · 2021
Later among the works it cites.
Understanding deep learning (still) requires rethinking generalization
Chiyuan Zhang, Samy Bengio, Moritz Hardt, Benjamin Recht, and Oriol Vinyals. 2021 · 2021
Later among the works it cites.
Do large language models understand us?
Blaise Agüera y Arcas. 2022 · 2022
Closest in time.
AudioLM: a Language Modeling Approach to Audio Generation
Zalán Borsos, Raphaël Marinier, Damien Vincent, Eugene Kharitonov, Olivier Pietquin, Matt Sharifi, Olivier Teboul, David Grangier, Marco Tagliasacchi, and Neil Zeghidour. 2022 · 2022
Closest in time.
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Cited alongside, same era.
Approximate Causal Abstractions
Sander Beckers, Frederick Eberhardt, and Joseph Y. Halpern. 2020 · 2020
Cited alongside, same era.
Climbing towards NLU: On Meaning, Form, and Understanding in the Age of Data
Emily M. Bender and Alexander Koller. 2020 · 2020
Cited alongside, same era.
Understanding adversarial examples requires a theory of artefacts for deep learning
Cameron Buckner. 2020 · 2020
Cited alongside, same era.
Performance vs. competence in human–machine comparisons
Chaz Firestone. 2020 · 2020
Cited alongside, same era.
How Can We Accelerate Progress Towards Human-like Linguistic Generalization?
Tal Linzen. 2020 · 2020
Cited alongside, same era.
To Dissect an Octopus: Making Sense of the Form/Meaning Debate
Julian Michael. 2020 · 2020
Cited alongside, same era.
Machines like us: toward AI with common sense
Ronald J. Brachman and Hector J. Levesque. 2022 · 2022
Closest in time.
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, and Noah Fiedel. 2022 · 2022
Closest in time.
Testing Relational Understanding in Text-Guided Image Generation
Colin Conwell and Tomer Ullman. 2022 · 2022
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Estimating PaLM’s training cost
Lennart Heim. 2022 · 2022
Closest in time.
AI and Compute: How Much Longer Can Computing Power Drive Artificial Intelligence Progress?
Andrew John and Micah Musser. 2022 · 2022
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Abstract representations emerge naturally in neural networks trained to perform multiple tasks
W. Jeffrey Johnston and Stefano Fusi. 2022 · 2022
Closest in time.
Unit Testing for Concepts in Neural Networks
Charles Lovering and Ellie Pavlick. 2022 · 2022
Closest in time.
Human Language Understanding & Reasoning
Christopher D. Manning. 2022 · 2022
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A very preliminary analysis of DALL-E 2
Gary Marcus, Ernest Davis, and Scott Aaronson. 2022 · 2022
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What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
Julian Michael, Ari Holtzman, Alicia Parrish, Aaron Mueller, Alex Wang, Angelica Chen, Divyam Madaan, Nikita Nangia, Richard Yuanzhe Pang, Jason Phang, and Samuel R. Bowman. 2022 · 2022
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In-context Learning and Induction Heads
Catherine Olsson, Nelson Elhage, Neel Nanda, and Nicholas Joseph. 2022 · 2022
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The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink
David Patterson, Joseph Gonzalez, Urs Hölzle, Quoc Le, Chen Liang, Lluis-Miquel Munguia, Daniel Rothchild, David So, Maud Texier, and Jeff Dean. 2022 · 2022
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Could a purely self-supervised Foundation Model achieve grounded language understanding?
Chris Potts. 2022 · 2022
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Robust Speech Recognition via Large-Scale Weak Supervision
Alec Radford, Jong Wook Kim, Tao Xu, Greg Brockman, Christine McLeavey, and Ilya Sutskever. 2022 · 2022
Closest in time.
Hierarchical Text-Conditional Image Generation with CLIP Latents
Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, and Mark Chen. 2022 · 2022
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Scott Reed, Konrad Zolna, Emilio Parisotto, Sergio Gomez Colmenarejo, Alexander Novikov, Gabriel Barth-Maron, Mai Gimenez, Yury Sulsky, Jackie Kay, Jost Tobias Springenberg, Tom Eccles, Jake Bruce, Ali Razavi, Ashley Edwards, Nicolas Heess, Yutian Chen, Raia Hadsell, Oriol Vinyals, Mahyar Bordbar, and Nando de Freitas. 2022 · 2022
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Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding
Chitwan Saharia, William Chan, Saurabh Saxena, Lala Li, Jay Whang, Emily Denton, Seyed Kamyar Seyed Ghasemipour, Burcu Karagol Ayan, S. Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J. Fleet, and Mohammad Norouzi. 2022 · 2022
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Symbolic Behaviour in Artificial Intelligence
Adam Santoro, Andrew Lampinen, Kory Mathewson, Timothy Lillicrap, and David Raposo. 2022 · 2022
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SCROLLS: Standardized CompaRison Over Long Language Sequences
Uri Shaham, Elad Segal, Maor Ivgi, Avia Efrat, Ori Yoran, Adi Haviv, Ankit Gupta, Wenhan Xiong, Mor Geva, Jonathan Berant, and Omer Levy. 2022 · 2022
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Abstraction for Deep Reinforcement Learning
Murray Shanahan and Melanie Mitchell. 2022 · 2022
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LaMDA: Language Models for Dialog Applications
Romal Thoppilan, Daniel De Freitas, Jamie Hall, Noam Shazeer, Apoorv Kulshreshtha, Heng-Tze Cheng, Alicia Jin, Taylor Bos, Leslie Baker, Yu Du, YaGuang Li, Hongrae Lee, Huaixiu Steven Zheng, Amin Ghafouri, Marcelo Menegali, Yanping Huang, Maxim Krikun, Dmitry Lepikhin, James Qin, Dehao Chen, Yuanzhong Xu, Zhifeng Chen, Adam Roberts, Maarten Bosma, Vincent Zhao, Yanqi Zhou, Chung-Ching Chang, Igor Krivokon, Will Rusch, Marc Pickett, Pranesh Srinivasan, Laichee Man, Kathleen Meier-Hellstern, Meredith Ringel Morris, Tulsee Doshi, Renelito Delos Santos, Toju Duke, Johnny Soraker, Ben Zevenbergen, Vinodkumar Prabhakaran, Mark Diaz, Ben Hutchinson, Kristen Olson, Alejandra Molina, Erin Hoffman-John, Josh Lee, Lora Aroyo, Ravi Rajakumar, Alena Butryna, Matthew Lamm, Viktoriya Kuzmina, Joe Fenton, Aaron Cohen, Rachel Bernstein, Ray Kurzweil, Blaise Aguera-Arcas, Claire Cui, Marian Croak, Ed Chi, and Quoc Le. 2022 · 2022
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Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality
Tristan Thrush, Ryan Jiang, Max Bartolo, Amanpreet Singh, Adina Williams, Douwe Kiela, and Candace Ross. 2022 · 2022
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