The process involves iteratively refining search queries based
on the results obtained from previous searches. Recursive
Retrieval aims to enhance the search experience by gradu-
ally converging on the most pertinent information through a
IRCoT [Trivedi et al., 2022] uses chain-of-
feedback loop.
thought to guide the retrieval process and refines the CoT
with the obtained retrieval results. ToC [Kim et al., 2023]
creates a clarification tree that systematically optimizes the
ambiguous parts in the Query. It can be particularly useful in
complex search scenarios where the user’s needs are not en-
tirely clear from the outset or where the information sought
is highly specialized or nuanced. The recursive nature of the
process allows for continuous learning and adaptation to the
user’s requirements, often resulting in improved satisfaction
with the search outcomes.
Adaptive Retrieval
Adaptive retrieval methods, exemplified by Flare and Self-
RAG forLargeLanguageModels-ASurvey