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Found 2 papers, 1 papers with code
Ask Optimal Questions: Aligning Large Language Models with Retriever's Preference in Conversational Search
Furthermore, we fine-tune a smaller LM using this dataset to align it with the retrievers' preferences as feedback.
Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models
To cope with the challenge, we propose a novel framework, Tree of Clarifications (ToC): It recursively constructs a tree of disambiguations for the AQ -- via few-shot prompting leveraging external knowledge -- and uses it to generate a long-form answer.
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