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pro vyhledávání: '"Rajasekharan, Abhiramon"'
Autor:
Zeng, Yankai, Rajasekharan, Abhiramon, Padalkar, Parth, Basu, Kinjal, Arias, Joaquín, Gupta, Gopal
Achieving human-like communication with machines remains a classic, challenging topic in the field of Knowledge Representation and Reasoning and Natural Language Processing. These Large Language Models (LLMs) rely on pattern-matching rather than a tr
Externí odkaz:
http://arxiv.org/abs/2303.08941
Publikováno v:
EPTCS 385, 2023, pp. 274-287
Humans understand language by extracting information (meaning) from sentences, combining it with existing commonsense knowledge, and then performing reasoning to draw conclusions. While large language models (LLMs) such as GPT-3 and ChatGPT are able
Externí odkaz:
http://arxiv.org/abs/2302.03780
Transfer learning approaches in reinforcement learning aim to assist agents in learning their target domains by leveraging the knowledge learned from other agents that have been trained on similar source domains. For example, recent research focus wi
Externí odkaz:
http://arxiv.org/abs/2202.02442