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Theory of Mind (ToM) is the ability to reason about one's own and others' mental states.
Human problem solving: The state of the theory in 1970
Herbert A Simon and Allen Newell. 1971 · 1970
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Procedures as a representation for data in a computer program for understanding natural language
Terry Winograd. 1971 · 1971
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Does the chimpanzee have a theory of mind?
David Premack and Guy Woodruff. 1978 · 1978
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Talking about internal states: The acquisition of an explicit theory of mind
Inge Bretherton and Marjorie Beeghly. 1982 · 1982
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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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Parallel Distributed Processing: Explorations in the Microstructure of Cognition: Foundations
David E. Rumelhart, James L. McClelland, and PDP Research Group. 1986 · 1986
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Understanding the representational mind
Josef Perner. 1991 · 1991
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Combining symbolic and neural learning
Jude W Shavlik. 1994 · 1994
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Pragmatics, modularity and mind-reading
Dan Sperber and Deirdre Wilson. 2002 · 2002
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Development and neurophysiology of mentalizing
Uta Frith and Christopher D Frith. 2003 · 2003
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Higher-order theory of mind and social competence in school-age children
Bethany Liddle and Daniel Nettle. 2006 · 2006
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Asymmetry between even and odd levels of recursion in a theory of mind
Masanori Takano, Takaya Arita, et al. 2006 · 2006
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The advantage of higher-order theory of mind in the game of limited bidding
Harmen de Weerd and Bart Verheij. 2011 · 2011
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Thinking, fast and slow
Daniel Kahneman. 2011 · 2011
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Higher-order theory of mind in the tacit communication game
Harmen De Weerd, Rineke Verbrugge, and Bart Verheij. 2015 · 2015
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton. 2015 · 2015
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The overlapping relationship between emotion perception and theory of mind
Rachel LC Mitchell and Louise H Phillips. 2015 · 2015
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Theory of mind ability and cooperation
Garret Ridinger and Michael McBride. 2017 · 2017
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Evaluating theory of mind in question answering
Aida Nematzadeh, Kaylee Burns, Erin Grant, Alison Gopnik, and Thomas L Griffiths. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Revisiting the evaluation of theory of mind through question answering
Matthew Le, Y-Lan Boureau, and Maximilian Nickel. 2019 · 2019
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Eliciting latent predictions from transformers with the tuned lens
Nora Belrose, Zach Furman, Logan Smith, Danny Halawi, Igor Ostrovsky, Lev McKinney, Stella Biderman, and Jacob Steinhardt. 2023 · 2023
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Ning Bian, Xianpei Han, Le Sun, Hongyu Lin, Yaojie Lu, and Ben He. 2023 · 2023
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Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al. 2023 · 2023
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Qlora: Efficient finetuning of quantized llms
Tim Dettmers, Artidoro Pagnoni, Ari Holtzman, and Luke Zettlemoyer. 2023 · 2023
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Emily M Bender, Timnit Gebru, Angelina McMillan-Major, and Shmargaret Shmitchell. 2021 · 2021
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Grounded language learning fast and slow
Felix Hill, Olivier Tieleman, Tamara von Glehn, Nathaniel Wong, Hamza Merzic, and Stephen Clark. 2021 · 2021
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Thinking fast and slow: Efficient text-to-visual retrieval with transformers
Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, and Andrew Zisserman. 2021 · 2021
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The development of advanced theory of mind in middle childhood: A longitudinal study from age 5 to 10 years
Christopher Osterhaus and Susanne Koerber. 2021 · 2021
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Higher-order theory of mind is especially useful in unpredictable negotiations
Harmen De Weerd, Rineke Verbrugge, and Bart Verheij. 2022 · 2022
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Neuro-symbolic artificial intelligence: The state of the art
Pascal Hitzler. 2022 · 2022
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Data contamination: From memorization to exploitation
Inbal Magar and Roy Schwartz. 2022 · 2022
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Zhijing Jin, Jiarui Liu, Zhiheng Lyu, Spencer Poff, Mrinmaya Sachan, Rada Mihalcea, Mona Diab, and Bernhard Schölkopf. 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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Towards a holistic landscape of situated theory of mind in large language models
Ziqiao Ma, Jacob Sansom, Run Peng, and Joyce Chai. 2023 · 2023
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Sources of hallucination by large language models on inference tasks
Nick McKenna, Tianyi Li, Liang Cheng, Mohammad Javad Hosseini, Mark Johnson, and Mark Steedman. 2023 · 2023
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OpenAI. 2023 · 2023
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Generative agents: Interactive simulacra of human behavior
Joon Sung Park, Joseph C O’Brien, Carrie J Cai, Meredith Ringel Morris, Percy Liang, and Michael S Bernstein. 2023 · 2023
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Llama: Open and efficient foundation language models
Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurelien Rodriguez, Armand Joulin, Edouard Grave, and Guillaume Lample. 2023 · 2023
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Large language models fail on trivial alterations to theory-of-mind tasks
Tomer Ullman. 2023 · 2023
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Large language models are not fair evaluators
Peiyi Wang, Lei Li, Liang Chen, Dawei Zhu, Binghuai Lin, Yunbo Cao, Qi Liu, Tianyu Liu, and Zhifang Sui. 2023 · 2023
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Emergence of maps in the memories of blind navigation agents
Erik Wijmans, Manolis Savva, Irfan Essa, Stefan Lee, Ari S Morcos, and Dhruv Batra. 2023 · 2023
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Zero-shot temporal relation extraction with chatgpt
Chenhan Yuan, Qianqian Xie, and Sophia Ananiadou. 2023 · 2023
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