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Neural Theory-of-Mind (N-ToM), machine's ability to understand and keep track of the mental states of others, is pivotal in developing socially intelligent agents.
Does the chimpanzee have a theory of mind?
David Premack and Guy Woodruff. 1978 · 1978
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Disorders of personality: Dsm-iii, axis ii
Allen Frances. 1981 · 1981
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Beliefs about beliefs: Representation and constraining function of wrong beliefs in young children’s understanding of deception
Heinz Wimmer and Josef Perner. 1983 · 1983
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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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Children’s understanding of representational change and its relation to the understanding of false belief and the appearance-reality distinction
Alison Gopnik and Janet W Astington. 1988 · 1988
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Centering: A framework for modeling the local coherence of discourse
Barbara J. Grosz, Aravind K. Joshi, and Scott Weinstein. 1995 · 1995
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Causal diagrams for empirical research
Judea Pearl. 1995 · 1995
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Recognition of faux pas by normally developing children and children with asperger syndrome or high-functioning autism
Simon Baron-Cohen, Michelle O’riordan, Valerie Stone, Rosie Jones, and Kate Plaisted. 1999 · 1999
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Do 15-month-old infants understand false beliefs?
Kristine H Onishi and Renée Baillargeon. 2005 · 2005
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Medial prefrontal dissociations during processing of trait diagnostic and nondiagnostic person information
Jason P Mitchell, Jasmin Cloutier, Mahzarin R Banaji, and C Neil Macrae. 2006 · 2006
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The turking test: Can language models understand instructions?
Avia Efrat and Omer Levy. 2020 · 2010
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Bayesian theory of mind: Modeling joint belief-desire attribution
Chris Baker, Rebecca Saxe, and Joshua Tenenbaum. 2011 · 2011
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From intention to action: The role of presence
Giuseppe Riva, John A Waterworth, Eva L Waterworth, and Fabrizia Mantovani. 2011 · 2011
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Towards ai-complete question answering: A set of prerequisite toy tasks
Jason Weston, Antoine Bordes, Sumit Chopra, Alexander M Rush, Bart Van Merriënboer, Armand Joulin, and Tomas Mikolov. 2016 · 2016
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How can memory-augmented neural networks pass a false-belief task?
Erin Grant, Aida Nematzadeh, and Thomas L Griffiths. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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doccano: Text annotation tool for human
Hiroki Nakayama, Takahiro Kubo, Junya Kamura, Yasufumi Taniguchi, and Xu Liang. 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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Revisiting the evaluation of theory of mind through question answering
Matthew Le, Y-Lan Boureau, and Maximilian Nickel. 2019 · 2019
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Social IQa: Commonsense reasoning about social interactions
Maarten Sap, Hannah Rashkin, Derek Chen, Ronan Le Bras, and Yejin Choi. 2019 · 2019
Cited alongside, same era.
Towards faithfully interpretable NLP systems: How should we define and evaluate faithfulness?
Alon Jacovi and Yoav Goldberg. 2020 · 2020
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Lora: Low-rank adaptation of large language models
Edward J Hu, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen, et al. 2021 · 2021
Cited alongside, same era.
Toxigen: A large-scale machine-generated dataset for adversarial and implicit hate speech detection
Thomas Hartvigsen, Saadia Gabriel, Hamid Palangi, Maarten Sap, Dipankar Ray, and Ece Kamar. 2022 · 2022
Cited alongside, same era.
Peft: State-of-the-art parameter-efficient fine-tuning methods
Sourab Mangrulkar, Sylvain Gugger, Lysandre Debut, Younes Belkada, Sayak Paul, and Benjamin Bossan. 2022 · 2022
Cited alongside, same era.
Towards a holistic landscape of situated theory of mind in large language models
Ziqiao Ma, Jacob Sansom, Run Peng, and Joyce Chai. 2023b · 2023
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Memory-augmented theory of mind network
Dung Nguyen, Phuoc Nguyen, Hung Le, Kien Do, Svetha Venkatesh, and Truyen Tran. 2023 · 2023
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OpenAI. 2023 · 2023
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Measuring and narrowing the compositionality gap in language models
Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah Smith, and Mike Lewis. 2023 · 2023
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Direct preference optimization: Your language model is secretly a reward model
Rafael Rafailov, Archit Sharma, Eric Mitchell, Stefano Ermon, Christopher D. Manning, and Chelsea Finn. 2023 · 2023
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Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
Cited alongside, same era.
Red teaming language models with language models
Ethan Perez, Saffron Huang, Francis Song, Trevor Cai, Roman Ring, John Aslanides, Amelia Glaese, Nat McAleese, and Geoffrey Irving. 2022a · 2022
Cited alongside, same era.
Neural theory-of-mind? on the limits of social intelligence in large LMs
Maarten Sap, Ronan Le Bras, Daniel Fried, and Yejin Choi. 2022 · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022
Cited alongside, same era.
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
Cited alongside, same era.
Understanding social reasoning in language models with language models
Kanishk Gandhi, Jan-Philipp Fränken, Tobias Gerstenberg, and Noah Goodman. 2023 · 2023
Cited alongside, same era.
Pal: Program-aided language models
Luyu Gao, Aman Madaan, Shuyan Zhou, Uri Alon, Pengfei Liu, Yiming Yang, Jamie Callan, and Graham Neubig. 2023 · 2023
Cited alongside, same era.
https://huggingface.co/blog/llama2#how-to-prompt-llama-2
Philipp Schmid, Omar Sanseviero, Pedro Cuenca, and Lewis Tunstall. 2023 · 2023
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Minding language models’ (lack of) theory of mind: A plug-and-play multi-character belief tracker
Melanie Sclar, Sachin Kumar, Peter West, Alane Suhr, Yejin Choi, and Yulia Tsvetkov. 2023 · 2023
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How well do large language models perform on faux pas tests?
Natalie Shapira, Guy Zwirn, and Yoav Goldberg. 2023b · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
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Large language models fail on trivial alterations to theory-of-mind tasks
Tomer David Ullman. 2023 · 2023
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The generative ai paradox:" what it can create, it may not understand"
Peter West, Ximing Lu, Nouha Dziri, Faeze Brahman, Linjie Li, Jena D Hwang, Liwei Jiang, Jillian Fisher, Abhilasha Ravichander, Khyathi Chandu, et al. 2023 · 2023
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Think twice: Perspective-taking improves large language models’ theory-of-mind capabilities
Alex Wilf, Sihyun Shawn Lee, Paul Pu Liang, and Louis-Philippe Morency. 2023 · 2023
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Hi-tom: A benchmark for evaluating higher-order theory of mind reasoning in large language models
Yufan Wu, Yinghui He, Yilin Jia, Rada Mihalcea, Yulong Chen, and Naihao Deng. 2023b · 2023
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Lance Ying, Katherine M Collins, Megan Wei, Cedegao E Zhang, Tan Zhi-Xuan, Adrian Weller, Joshua B Tenenbaum, and Lionel Wong. 2023 · 2023
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Evaluating subjective cognitive appraisals of emotions from large language models
Hongli Zhan, Desmond Ong, and Junyi Jessy Li. 2023 · 2023
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Albert Q. Jiang, Alexandre Sablayrolles, Antoine Roux, Arthur Mensch, Blanche Savary, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Emma Bou Hanna, Florian Bressand, Gianna Lengyel, Guillaume Bour, Guillaume Lample, Lélio Renard Lavaud, Lucile Saulnier, Marie-Anne Lachaux, Pierre Stock, Sandeep Subramanian, Sophia Yang, Szymon Antoniak, Teven Le Scao, Théophile Gervet, Thibaut Lavril, Thomas Wang, Timothée Lacroix, and William El Sayed. 2024 · 2024
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https://openai.com/blog/chatgpt
OpenAI. 2022 · 2024
Closest in time.
https://huggingface.co/mistralai/Mixtral-8x7B-Instruct-v0.1
The Mistral AI Team. 2023 · 2024
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