Dynamic Contexts for Generating Suggestion Questions in RAG Based Conversational Systems
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arXiv
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| Autores principales: | , |
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| Formato: | Preprint |
| Publicado: |
2024
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| Acceso en línea: | |
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| _version_ | 1866913269474656256 |
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| author | Tayal, Anuja Tyagi, Aman |
| author_facet | Tayal, Anuja Tyagi, Aman |
| contents | When interacting with Retrieval-Augmented Generation (RAG)-based conversational agents, the users must carefully craft their queries to be understood correctly. Yet, understanding the system's capabilities can be challenging for the users, leading to ambiguous questions that necessitate further clarification. This work aims to bridge the gap by developing a suggestion question generator. To generate suggestion questions, our approach involves utilizing dynamic context, which includes both dynamic few-shot examples and dynamically retrieved contexts. Through experiments, we show that the dynamic contexts approach can generate better suggestion questions as compared to other prompting approaches. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2403_11413 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Dynamic Contexts for Generating Suggestion Questions in RAG Based Conversational Systems Tayal, Anuja Tyagi, Aman Computation and Language When interacting with Retrieval-Augmented Generation (RAG)-based conversational agents, the users must carefully craft their queries to be understood correctly. Yet, understanding the system's capabilities can be challenging for the users, leading to ambiguous questions that necessitate further clarification. This work aims to bridge the gap by developing a suggestion question generator. To generate suggestion questions, our approach involves utilizing dynamic context, which includes both dynamic few-shot examples and dynamically retrieved contexts. Through experiments, we show that the dynamic contexts approach can generate better suggestion questions as compared to other prompting approaches. |
| title | Dynamic Contexts for Generating Suggestion Questions in RAG Based Conversational Systems |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2403.11413 |