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Large language models (LLMs) offer significant promise as a knowledge source for task learning.
Acquiring Grounded Representation of Words with Situated Interactive Instruction
Mohan, S.; Mininger, A.; Kirk, J.; and Laird, J. E. 2012 · 2012
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Learning Goal-Oriented Hierarchical Tasks from Situated Interactive Instruction
Mohan, S.; and Laird, J. E. 2014 · 2014
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Learning General and Efficient Representations of Novel Games Through Interactive Instruction
Kirk, J. R.; and Laird, J. E. 2016 · 2016
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Interactive Task Learning
Laird, J. E.; Gluck, K.; Anderson, J. R.; Forbus, K.; Jenkins, O.; Lebiere, C.; Salvucci, D.; Scheutz, M.; Thomaz, A.; Trafton, G.; Wray, R. E.; Mohan, S.; and Kirk, J. R. 2017 · 2017
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Interactive Task Learning: Agents, Robots, and Humans Acquiring New Tasks through Natural Interactions , volume 26 of Strüngmann Forum Reports
Gluck, K.; and Laird, J., eds. 2019 · 2019
Earlier work this paper cites.
Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer
Kirk, J. R.; and Laird, J. E. 2019 · 2019
Earlier work this paper cites.
Training Verifiers to Solve Math Word Problems
Cobbe, K.; Kosaraju, V.; Bavarian, M.; Chen, M.; Jun, H.; Kaiser, L.; Plappert, M.; Tworek, J.; Hilton, J.; Nakano, R.; Hesse, C.; and Schulman, J. 2021 · 2021
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Expanding Task Diversity in Explanation-Based Interactive Task Learning
Mininger, A. 2021 · 2021
Earlier work this paper cites.
GPT3-to-plan: Extracting plans from text using GPT-3
Olmo, A.; Sreedharan, S.; and Kambhampati, S. 2021 · 2021
Earlier work this paper cites.
Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Reynolds, L.; and McDonell, K. 2021 · 2021
Cited alongside, same era.
Ethical and social risks of harm from Language Models
Weidinger, L.; Mellor, J.; Rauh, M.; Griffin, C.; Uesato, J.; Huang, P.-S.; Cheng, M.; Glaese, M.; Balle, B.; Kasirzadeh, A.; Kenton, Z.; Brown, S.; Hawkins, W.; Stepleton, T.; Biles, C.; Birhane, A.; Haas, J.; Rimell, L.; Hendricks, L. A.; Isaac, W.; Legassick, S.; Irving, G.; and Gabriel, I. 2021 · 2021
Cited alongside, same era.
Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Ahn, M.; Brohan, A.; Brown, N.; Chebotar, Y.; Cortes, O.; David, B.; Finn, C.; Gopalakrishnan, K.; Hausman, K.; Herzog, A.; et al. 2022 · 2022
Cited alongside, same era.
Inner Monologue: Embodied Reasoning through Planning with Language Models
Huang, W.; Xia, F.; Xiao, T.; Chan, H.; Liang, J.; Florence, P.; Zeng, A.; Tompson, J.; Mordatch, I.; Chebotar, Y.; et al. 2022 · 2022
Cited alongside, same era.
Improving Language Model Prompting in Support of Semi-autonomous Task Learning
Language Models can Solve Computer Tasks
Kim, G.; Baldi, P.; and McAleer, S. 2023 · 2023
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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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OpenAI. 2023 · 2023
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Generative Agents: Interactive Simulacra of Human Behavior
Park, J. S.; O’Brien, J.; Cai, C. J.; Morris, M. R.; Liang, P.; and Bernstein, M. S. 2023 · 2023
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Auto-GPT: An Autonomous GPT-4 Experiment
Richards, T. B. 2023 · 2023
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Kirk, J. R.; Wray, R. E.; Lindes, P.; and Laird, J. E. 2022 · 2022
Cited alongside, same era.
Few-shot Subgoal Planning with Language Models
Logeswaran, L.; Fu, Y.; Lee, M.; and Lee, H. 2022 · 2022
Cited alongside, same era.
TIDEE: Tidying Up Novel Rooms using Visuo-Semantic Commonsense Priors
Sarch, G.; Fang, Z.; Harley, A. W.; Schydlo, P.; Tarr, M. J.; Gupta, S.; and Fragkiadaki, K. 2022 · 2022
Cited alongside, same era.
ProgPrompt: Generating Situated Robot Task Plans using Large Language Models
Singh, I.; Blukis, V.; Mousavian, A.; Goyal, A.; Xu, D.; Tremblay, J.; Fox, D.; Thomason, J.; and Garg, A. 2022 · 2022
Cited alongside, same era.
Active Prompting with Chain-of-Thought for Large Language Models
Diao, S.; Wang, P.; Lin, Y.; and Zhang, T. 2023 · 2023
Cited alongside, same era.
Sumers, T. R.; Yao, S.; Narasimhan, K.; and Griffiths, T. L. 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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