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Language models (LLMs) offer potential as a source of knowledge for agents that need to acquire new task competencies within a performance environment.
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction
Bosselut, A., Rashkin, H., Sap, M., Malaviya, C., Celikyilmaz, A., & Choi, Y. (2019) · 1906
Earlier work this paper cites.
Dynamic Neuro-Symbolic Knowledge Graph Construction for Zero-shot Commonsense Question Answering
Bosselut, A., Bras, R. L., & Choi, Y. (2021) · 1911
Earlier work this paper cites.
Language models are few-shot learners
Brown, T. B., et al. (2020) · 2005
Earlier work this paper cites.
ConceptNet 5.5: an open multilingual graph of general knowledge
Speer, R., Chin, J., & Havasi, C. (2017) · 2017
Earlier work this paper cites.
Interactive Task Learning: Agents, Robots, and Humans Acquiring New Tasks through Natural Interactions
Gluck, K., & Laird, J. (Eds.). (2019) · 2019
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Learning Hierarchical Symbolic Representations to Support Interactive Task Learning and Knowledge Transfer
Kirk, J. R., & Laird, J. E. (2019) · 2019
Earlier work this paper cites.
GLUCOSE: GeneraLized and COntextualized Story Explanations
Mostafazadeh, N., Kalyanpur, A., Moon, L., Buchanan, D., Berkowitz, L., Biran, O., & Chu-Carroll, J. (2020) · 2020
Cited alongside, same era.
On the Opportunities and Risks of Foundation Models
Bommasani, R., et al. (2021) · 2021
Cited alongside, same era.
What Makes Good In-Context Examples for GPT-3?
Liu, J., Shen, D., Zhang, Y., Dolan, B., Carin, L., & Chen, 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., & Kambhampati, S. (2021) · 2021
Cited alongside, same era.
Language Models as a Knowledge Source for Cognitive Agents
Wray, R. E., Kirk, J. R., & Laird, J. E. (2021) · 2021
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Do As I Can, Not As I Say: Grounding Language in Robotic Affordances
Ahn, M., et al. (2022) · 2022
Closest in time.
Evaluating diverse knowledge sources for online one-shot learning of novel tasks
Kirk, J. R., Wray, R. E., Lindes, P., & Laird, J. E. (2022) · 2022
Closest in time.
Few-shot Subgoal Planning with Language Models
Logeswaran, L., Fu, Y., Lee, M., & Lee, H. (2022) · 2022
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A Recipe For Arbitrary Text Style Transfer with Large Language Models
Reif, E., Ippolito, D., Yuan, A., Coenen, A., Callison-Burch, C., & Wei, J. (2022) · 2022
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Prompt Programming for Large Language Models: Beyond the Few-Shot Paradigm
Reynolds, L., & McDonell, K. (2021) · 2021
Cited alongside, same era.
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Chain of Thought Prompting Elicits Reasoning in Large Language Models
Wei, J., Wang, X., Schuurmans, D., Bosma, M., Chi, E., Le, Q., & Zhou, D. (2022) · 2022
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