An approach that interleaves language-model reasoning with actions in an external environment.
Sign in to saveReAct combines reasoning traces and task-oriented actions in an alternating process. Actions can retrieve evidence or interact with an environment, while subsequent reasoning can update the plan using those observations. The paper evaluates this approach on question answering, fact verification, and interactive decision-making tasks.
Research paper first submitted to arXiv on 2022-10-06.
Relevant when understanding tool-using agents. Distinguish the ReAct research method from the unrelated React interface library. Catalog note: this is a source-verified reference entry, not a measured current-trend signal. No search-volume or growth claim is made.
Pro opens the same-day prioritize / watch / skip table, including names that are still too new to publish here.
This name has not appeared in an imported daily report yet.