generate 5 potential queries to search the following abstrast of a paper. Let's do it step by step. First generate the quires and then if the query consists of more than 20 words then summarize it
[ABSTRACT]:
While large language models (LLMs) have demonstrated impressive performance
across tasks in language understanding and interactive decision making, their
abilities for reasoning (e.g. chain-of-thought prompting) and acting (e.g. action
plan generation) have primarily been studied as separate topics. In this paper, we
explore the use of LLMs to generate both reasoning traces and task-specific actions
in an interleaved manner, allowing for greater synergy between the two: reasoning
traces help the model induce, track, and update action plans as well as handle
exceptions, while actions allow it to interface with and gather additional information
from external sources such as knowledge bases or environments. We apply our
approach, named ReAct, to a diverse set of language and decision making tasks
and demonstrate its effectiveness over state-of-the-art baselines in addition to
improved human interpretability and trustworthiness. Concretely, on question
answering (HotpotQA) and fact verification (Fever), ReAct overcomes prevalent
issues of hallucination and error propagation in chain-of-thought reasoning by
interacting with a simple Wikipedia API, and generating human-like task-solving
trajectories that are more interpretable than baselines without reasoning traces.
Furthermore, on two interactive decision maki Provide exactly two different responses that are separated with 6 asterisk symbols: ******.
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