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Theory of Mind (ToM) is a critical component of intelligence but its assessment remains the subject of heated debates.
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
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Symbolic logic , volume 170
Clarence Irving Lewis, Cooper Harold Langford, and P Lamprecht. 1959 · 1959
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Does the autistic child have a “theory of mind”?
Simon Baron-Cohen, Alan M Leslie, and Uta Frith. 1985 · 1985
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My beliefs about your beliefs: a case study in theory of mind and epistemic logic
Hans Van Ditmarsch and Willem Labuschagne. 2007 · 2007
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Dynamic epistemic logics
Jan van Eijck. 2014 · 2014
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Are We Smart Enough to Know How Smart Animals Are?
F. de Waal. 2016 · 2016
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Towards ai-complete question answering: A set of prerequisite toy tasks
Jason Weston, Antoine Bordes, Sumit Chopra, and Tomás Mikolov. 2016 · 2016
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Symbolic model checking for dynamic epistemic logic — s5 and beyond*
Johan Benthem, Jan van Eijck, Malvin Gattinger, and Kaile Su. 2018 · 2018
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Seeing is believing: Formalising false-belief tasks in dynamic epistemic logic
Thomas Bolander. 2018 · 2018
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Annotation artifacts in natural language inference data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman, and Noah A. Smith. 2018 · 2018
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Evaluating theory of mind in question answering
Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, and Tom Griffiths. 2018 · 2018
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Parameterized complexity of theory of mind reasoning in dynamic epistemic logic
Iris Van De Pol, Iris Van Rooij, and Jakub Szymanik. 2018 · 2018
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Revisiting the evaluation of theory of mind through question answering
Matthew Le, Y-Lan Boureau, and Maximilian Nickel. 2019 · 2019
Cited alongside, same era.
Social IQa: Commonsense reasoning about social interactions
Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, and Yejin Choi. 2019 · 2019
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Transformers as soft reasoners over language
Peter Clark, Oyvind Tafjord, and Kyle Richardson. 2020 · 2020
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Implementing theory of mind on a robot using dynamic epistemic logic
Lasse Dissing and Thomas Bolander. 2020 · 2020
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The relationship between theory of mind and intelligence: A formative g approach
Ester Navarro, Sara Anne Goring, and Andrew R. A. Conway. 2020 · 2020
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MindCraft: Theory of mind modeling for situated dialogue in collaborative tasks
Cristian-Paul Bara, Sky CH-Wang, and Joyce Chai. 2021 · 2021
Perturbation augmentation for fairer nlp
Rebecca Qian, Candace Ross, Jude Fernandes, Eric Smith, Douwe Kiela, and Adina Williams. 2022 · 2022
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Pushing the limits of rule reasoning in transformers through natural language satisfiability
Kyle Richardson and Ashish Sabharwal. 2022 · 2022
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Probing neural language models for understanding of words of estimative probability
Damien Sileo and Marie-Francine Moens. 2022 · 2022
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Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, et al. 2022 · 2022
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Pythia: A suite for analyzing large language models across training and scaling
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Exploring roberta’s theory of mind through textual entailment
Michael Cohen. 2021 · 2021
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A framework for few-shot language model evaluation
Leo Gao, Jonathan Tow, Stella Biderman, Sid Black, Anthony DiPofi, Charles Foster, Laurence Golding, Jeffrey Hsu, Kyle McDonell, Niklas Muennighoff, Jason Phang, Laria Reynolds, Eric Tang, Anish Thite, Ben Wang, Kevin Wang, and Andy Zou. 2021 · 2021
Cited alongside, same era.
Pengcheng He, Jianfeng Gao, and Weizhu Chen. 2021 · 2021
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Diagnosing the first-order logical reasoning ability through LogicNLI
Jidong Tian, Yitian Li, Wenqing Chen, Liqiang Xiao, Hao He, and Yaohui Jin. 2021 · 2021
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Is neuro-symbolic ai meeting its promises in natural language processing? a structured review
Kyle Hamilton, Aparna Nayak, Bojan Božić, and Luca Longo. 2022 · 2022
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Logitorch: A pytorch-based library for logical reasoning on natural language
Chadi Helwe, Chloé Clavel, and Fabian Suchanek. 2022 · 2022
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Stella Biderman, Hailey Schoelkopf, Quentin Anthony, Herbie Bradley, Kyle O’Brien, Eric Hallahan, Mohammad Aflah Khan, Shivanshu Purohit, USVSN Sai Prashanth, Edward Raff, et al. 2023 · 2023
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Theory of mind may have spontaneously emerged in large language models
Michal Kosinski. 2023 · 2023
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Tomchallenges: A principle-guided dataset and diverse evaluation tasks for exploring theory of mind
Xiaomeng Ma, Lingyu Gao, and Qihui Xu. 2023 · 2023
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Boosting theory-of-mind performance in large language models via prompting
Shima Rahimi Moghaddam and Christopher J Honey. 2023 · 2023
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OpenAI. 2023 · 2023
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How well do large language models perform on faux pas tests?
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Large language models fail on trivial alterations to theory-of-mind tasks
Tomer Ullman. 2023 · 2023
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On the paradox of learning to reason from data
Honghua Zhang, Liunian Harold Li, Tao Meng, Kai-Wei Chang, and Guy Van den Broeck. 2023 · 2023
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