Fetching the paper…
Reading the bibliography…
When people think of everyday things like an egg, they typically have a mental image associated with it.
Language models are few-shot learners
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.
Hake: Human activity knowledge engine
Yong-Lu Li, Liang Xu, Xinpeng Liu, Xijie Huang, Yue Xu, Mingyang Chen, Ze Ma, Shiyi Wang, Hao-Shu Fang, and Cewu Lu. 2019b · 1904
Earlier work this paper cites.
A logic-driven framework for consistency of neural models
Tao Li, Vivek Gupta, Maitrey Mehta, and Vivek Srikumar. 2019a · 1909
Earlier work this paper cites.
The nature of explanation , volume 445
Kenneth James Williams Craik. 1943 · 1943
Earlier work this paper cites.
Mental Models : Towards a Cognitive Science of Language, Inference and Consciousness
P. Johnson-Laird. 1983 · 1983
Earlier work this paper cites.
Children’s Understanding: The Development of Mental Models
Graeme S. Halford. 1993 · 1993
Earlier work this paper cites.
WordNet: A lexical database for English
George A. Miller. 1994 · 1994
Earlier work this paper cites.
Mental models: Knowledge in the head and knowledge in the world
David H. Jonassen and Philip Henning. 1996 · 1996
Earlier work this paper cites.
The Region Connection Calculus , pages 41–50. Springer Berlin Heidelberg, Berlin, Heidelberg
Jochen Renz, editor. 2002 · 2002
Earlier work this paper cites.
Conceptual precursors to language
S. J. Hespos and E. S Spelke. 2004 · 2004
Earlier work this paper cites.
How we reason
P. Johnson-Laird. 2006 · 2006
Earlier work this paper cites.
Project halo update—progress toward digital aristotle
David Gunning, Vinay K Chaudhri, Peter E Clark, Ken Barker, Shaw-Yi Chaw, Mark Greaves, Benjamin Grosof, Alice Leung, David D McDonald, Sunil Mishra, et al. 2010 · 2010
Cited alongside, same era.
The Design of Everyday Things: Revised and Expanded Edition
Donald A. Norman. 2013 · 2013
Cited alongside, same era.
David R Ha and Jürgen Schmidhuber. 2018 · 2018
Cited alongside, same era.
Rc2: a python-based maxsat solver
Alexey Ignatiev, Antonio Morgado, and Joao Marques-Silva. 2018b · 2018
Cited alongside, same era.
Now You Know How It Works
Valorie Fisher. 2019 · 2019
Cited alongside, same era.
CommonsenseQA: A question answering challenge targeting commonsense knowledge
Alon Talmor, Jonathan Herzig, Nicholas Lourie, and Jonathan Berant. 2019 · 2019
BeliefBank: Adding memory to a pre-trained language model for a systematic notion of belief
Nora Kassner, Oyvind Tafjord, Hinrich Schütze, and Peter Clark. 2021 · 2021
Later among the works it cites.
Improving coherence and consistency in neural sequence models with dual-system, neuro-symbolic reasoning
Maxwell Nye, Michael Tessler, Josh Tenenbaum, and Brenden M Lake. 2021 · 2021
Later among the works it cites.
General-purpose question-answering with Macaw
Oyvind Tafjord and Peter Clark. 2021 · 2021
Later among the works it cites.
Language models as agent models
Jacob Andreas. 2022 · 2022
Closest in time.
The Basic Spelling Vocabulary List
Steve Graham, Karen R. Harris, and Connie Loynachan · 2022
Closest in time.
DREAM: Improving situational QA by first elaborating the situation
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Piqa: Reasoning about physical commonsense in natural language
Yonatan Bisk, Rowan Zellers, Ronan Le bras, Jianfeng Gao, and Yejin Choi. 2020 · 2020
Cited alongside, same era.
Understanding spatial relations through multiple modalities
Soham Dan, Hangfeng He, and Dan Roth. 2020 · 2020
Cited alongside, same era.
On the dangers of stochastic parrots: Can language models be too big?
Emily M. Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
Cited alongside, same era.
Ptr: A benchmark for part-based conceptual, relational, and physical reasoning
Yining Hong, Li Yi, Josh Tenenbaum, Antonio Torralba, and Chuang Gan. 2021 · 2021
Cited alongside, same era.
My First 100 Things that move
Wonder House Books. 2018a
Cited in the paper.
My First Library : Boxset of 10 Board Books for Kids
Wonder House Books. 2018b
Cited in the paper.
Yuling Gu, Bhavana Dalvi, and Peter Clark. 2022a · 2022
Closest in time.
Abstract visual reasoning with tangram shapes
Anya Ji, Noriyuki Kojima, Noah Rush, Alane Suhr, Wai Keen Vong, Robert Hawkins, and Yoav Artzi. 2022 · 2022
Closest in time.
Enhancing self-consistency and performance of pretrained language models with nli
Eric Mitchell, Joseph J. Noh, Siyan Li, William S. Armstrong, Ananth Agarwal, Patrick Liu, Chelsea Finn, and Christopher D. Manning. 2022 · 2022
Closest in time.
Unpacking large language models with conceptual consistency
Pritish Sahu, Michael Cogswell, Yunye Gong, and Ajay Divakaran. 2022 · 2022
Closest in time.
Talking about large language models
Murray Shanahan. 2022 · 2022
Closest in time.