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Large language models (LLMs) provide capabilities far beyond sentence completion, including question answering, summarization, and natural-language inference.
Language Models are Few-Shot Learners
Brown, T.; Mann, B.; Ryder, N.; Subbiah, M.; Kaplan, J. D.; Dhariwal, P.; Neelakantan, A.; Shyam, P.; Sastry, G.; Askell, A.; Agarwal, S.; Herbert-Voss, A.; Krueger, G.; Henighan, T.; Child, R.; Ramesh, A.; Ziegler, D.; Wu, J.; Winter, C.; Hesse, C.; Chen, M.; Sigler, E.; Litwin, M.; Gray, S.; Chess, B.; Clark, J.; Berner, C.; McCandlish, S.; Radford, A.; Sutskever, I.; and Amodei, D. 2020 · 1901
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COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Bosselut, A.; Rashkin, H.; Sap, M.; Malaviya, C.; Celikyilmaz, A.; and Choi, Y. 2019 · 1906
Earlier work this paper cites.
Language Models as Knowledge Bases?
Petroni, F.; Rocktäschel, T.; Lewis, P.; Bakhtin, A.; Wu, Y.; Miller, A. H.; and Riedel, S. 2019 · 1909
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Chunking in Soar: The anatomy of a general learning mechanism
Laird, J. E.; Rosenbloom, P. S.; and Newell, A. 1986 · 1986
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Unified Theories of Cognition
Newell, A. 1990 · 1990
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Acquiring Knowledge in Soar
Yost, G. R. 1993 · 1993
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Flexibly instructable agents
Huffman, S. B.; and Laird, J. E. 1995 · 1995
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Artificial Intelligence: A Modern Approach
Russell, S.; and Norvig, P. 1995 · 1995
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Toward incremental knowledge correction for agents in complex environments
Pearson, D. J.; and Laird, J. E. 1998 · 1998
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An integrated theory of the mind
Anderson, J. R.; Bothell, D.; Byrne, M. D.; Douglass, S.; Lebiere, C.; and Qin, Y. 2004 · 2004
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A High Level Symbolic Representation for Behavior Modeling
Crossman, J.; Wray, R. E.; Jones, R. M.; and Lebiere, C. 2004 · 2004
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Learning hierarchical task networks by observation
Nejati, N.; Langley, P.; and Konik, T. 2006 · 2006
Earlier work this paper cites.
High-level behavior representation languages revisited
Ritter, F. E.; Haynes, S. R.; Cohen, M.; Howes, A.; John, B.; Best, B.; Lebiere, C.; Lewis, R. L.; St. Amant, R.; McBraide, S. P.; Urbas, L.; Leuchter, S.; and Vera, A. 2006 · 2006
Earlier work this paper cites.
The Soar Cognitive Architecture
Laird, J. E. 2012 · 2012
Earlier work this paper cites.
ConceptNet 5.5: an open multilingual graph of general knowledge
Speer, R.; Chin, J.; and Havasi, C. 2017 · 2017
Cited alongside, same era.
Evolution of the Icarus Cognitive Architecture
Choi, D.; and Langley, P. 2018 · 2018
Cited alongside, same era.
Interactive Task Learning: Agents, Robots, and Humans Acquiring New Tasks through Natural Interactions , volume 26 of Strüngmann Forum Reports
Gluck, K.; Laird, J.; and Lupp, J. R., eds. 2019 · 2019
Cited alongside, same era.
Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer
Kirk, J. R.; and Laird, J. E. 2019 · 2019
Cited alongside, same era.
40 years of cognitive architectures: core cognitive abilities and practical applications
Kotseruba, I.; and Tsotsos, J. K. 2020 · 2020
Cited alongside, same era.
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Wei, J.; Wang, X.; Schuurmans, D.; Bosma, M.; Ichter, B.; Xia, F.; Chi, E.; Le, Q. V.; and Zhou, D. 2022 · 2022
Later among the works it cites.
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control
Brohan, A.; Brown, N.; Carbajal, J.; Chebotar, Y.; Chen, X.; Choromanski, K.; Ding, T.; Driess, D.; Dubey, A.; Finn, C.; Florence, P.; Fu, C.; Arenas, M. G.; Gopalakrishnan, K.; Han, K.; Hausman, K.; Herzog, A.; Hsu, J.; Ichter, B.; Irpan, A.; Joshi, N.; Julian, R.; Kalashnikov, D.; Kuang, Y.; Leal, I.; Lee, L.; Lee, T.-W. E.; Levine, S.; Lu, Y.; Michalewski, H.; Mordatch, I.; Pertsch, K.; Rao, K.; Reymann, K.; Ryoo, M.; Salazar, G.; Sanketi, P.; Sermanet, P.; Singh, J.; Singh, A.; Soricut, R.; Tran, H.; Vanhoucke, V.; Vuong, Q.; Wahid, A.; Welker, S.; Wohlhart, P.; Wu, J.; Xia, F.; Xiao, T.; Xu, P.; Xu, S.; Yu, T.; and Zitkovich, B. 2023 · 2023
Closest in time.
PaLM-E: An Embodied Multimodal Language Model
Driess, D.; Xia, F.; Sajjadi, M. S. M.; Lynch, C.; Chowdhery, A.; Ichter, B.; Wahid, A.; Tompson, J.; Vuong, Q.; Yu, T.; Huang, W.; Chebotar, Y.; Sermanet, P.; Duckworth, D.; Levine, S.; Vanhoucke, V.; Hausman, K.; Toussaint, M.; Greff, K.; Zeng, A.; Mordatch, I.; and Florence, P. 2023 · 2023
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Austin, J.; Odena, A.; Nye, M.; Bosma, M.; Michalewski, H.; Dohan, D.; Jiang, E.; Cai, C.; Terry, M.; Le, Q.; and Sutton, C. 2021 · 2021
Cited alongside, same era.
Evaluating Large Language Models Trained on Code
Chen, M.; Tworek, J.; Jun, H.; Yuan, Q.; Pinto, H. P. d. O.; Kaplan, J.; Edwards, H.; Burda, Y.; Joseph, N.; Brockman, G.; Ray, A.; Puri, R.; Krueger, G.; Petrov, M.; Khlaaf, H.; Sastry, G.; Mishkin, P.; Chan, B.; Gray, S.; Ryder, N.; Pavlov, M.; Power, A.; Kaiser, L.; Bavarian, M.; Winter, C.; Tillet, P.; Such, F. P.; Cummings, D.; Plappert, M.; Chantzis, F.; Barnes, E.; Herbert-Voss, A.; Guss, W. H.; Nichol, A.; Paino, A.; Tezak, N.; Tang, J.; Babuschkin, I.; Balaji, S.; Jain, S.; Saunders, W.; Hesse, C.; Carr, A. N.; Leike, J.; Achiam, J.; Misra, V.; Morikawa, E.; Radford, A.; Knight, M.; Brundage, M.; Murati, M.; Mayer, K.; Welinder, P.; McGrew, B.; Amodei, D.; McCandlish, S.; Sutskever, I.; and Zaremba, W. 2021 · 2021
Cited alongside, same era.
Expanding Task Diversity in Explanation-Based Interactive Task Learning
Mininger, A. 2021 · 2021
Cited alongside, same era.
GPT3-to-plan: Extracting plans from text using GPT-3
Olmo, A.; Sreedharan, S.; and Kambhampati, S. 2021 · 2021
Cited alongside, same era.
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Reynolds, L.; and McDonell, K. 2021 · 2021
Cited alongside, same era.
Language Models as a Knowledge Source for Cognitive Agents
Wray, R. E.; Kirk, J. R.; and Laird, J. E. 2021 · 2021
Cited alongside, same era.
Improving Language Model Prompting in Support of Semi-autonomous Task Learning
Kirk, J.; Wray, R. E.; Lindes, P.; and Laird, J. E. 2022 · 2022
Cited alongside, same era.
Kim, G.; Baldi, P.; and McAleer, S. 2023 · 2023
Closest in time.
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
Kirk, J. R.; Wray, R. E.; and Lindes, P. 2023 · 2023
Closest in time.
Integrating Diverse Knowledge Sources for Online One-shot Learning of Novel Tasks
Kirk, J. R.; Wray, R. E.; Lindes, P.; and Laird, J. E. 2023 · 2023
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Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc
Lenat, D.; and Marcus, G. 2023 · 2023
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OpenAI. 2023 · 2023
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Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions
Pezeshkpour, P.; and Hruschka, E. 2023 · 2023
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ProgPrompt: program generation for situated robot task planning using large language models
Singh, I.; Blukis, V.; Mousavian, A.; Goyal, A.; Xu, D.; Tremblay, J.; Fox, D.; Thomason, J.; and Garg, A. 2023 · 2023
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Valmeekam, K.; Sreedharan, S.; Marquez, M.; Olmo, A.; and Kambhampati, S. 2023 · 2023
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Self-Consistency Improves Chain of Thought Reasoning in Language Models
Wang, X.; Wei, J.; Schuurmans, D.; Le, Q.; Chi, E.; Narang, S.; Chowdhery, A.; and Zhou, D. 2023 · 2023
Closest in time.
TidyBot: Personalized Robot Assistance with Large Language Models
Wu, J.; Antonova, R.; Kan, A.; Lepert, M.; Zeng, A.; Song, S.; Bohg, J.; Rusinkiewicz, S.; and Funkhouser, T. 2023 · 2023
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