Large language models know your contextual search intent: A prompting framework for conversational search
Precisely understanding users' contextual search intent has been an important challenge for
conversational search. As conversational search sessions are much more diverse and long …
conversational search. As conversational search sessions are much more diverse and long …
Enhancing conversational search: Large language model-aided informative query rewriting
Query rewriting plays a vital role in enhancing conversational search by transforming context-
dependent user queries into standalone forms. Existing approaches primarily leverage …
dependent user queries into standalone forms. Existing approaches primarily leverage …
Chatqa: Building gpt-4 level conversational qa models
In this work, we introduce ChatQA, a family of conversational question answering (QA)
models that obtain GPT-4 level accuracies. Specifically, we propose a two-stage instruction …
models that obtain GPT-4 level accuracies. Specifically, we propose a two-stage instruction …
Search-oriented conversational query editing
Conversational query rewriting (CQR) realizes conversational search by reformulating the
search dialogue into a standalone rewrite. However, existing CQR models either are not …
search dialogue into a standalone rewrite. However, existing CQR models either are not …
Convsdg: Session data generation for conversational search
Conversational search provides a more convenient interface for users to search by allowing
multi-turn interaction with the search engine. However, the effectiveness of the …
multi-turn interaction with the search engine. However, the effectiveness of the …
Domain Adaptation for Conversational Query Production with the RAG Model Feedback
Conversational query production is an emerging fundamental task for the dialogue system,
where search queries are generated to explore the vast and continually updating knowledge …
where search queries are generated to explore the vast and continually updating knowledge …
RaFe: Ranking Feedback Improves Query Rewriting for RAG
As Large Language Models (LLMs) and Retrieval Augmentation Generation (RAG)
techniques have evolved, query rewriting has been widely incorporated into the RAG system …
techniques have evolved, query rewriting has been widely incorporated into the RAG system …
PCoQA: Persian Conversational Question Answering Dataset
HH Hemati, A Toghyani, A Souri, SH Alavian… - arXiv preprint arXiv …, 2023 - arxiv.org
Humans seek information regarding a specific topic through performing a conversation
containing a series of questions and answers. In the pursuit of conversational question …
containing a series of questions and answers. In the pursuit of conversational question …
Query enhanced knowledge-intensive conversation via unsupervised joint modeling
In this paper, we propose an unsupervised query enhanced approach for knowledge-
intensive conversations, namely QKConv. There are three modules in QKConv: a query …
intensive conversations, namely QKConv. There are three modules in QKConv: a query …
Answering unanswered questions through semantic reformulations in spoken QA
Spoken Question Answering (QA) is a key feature of voice assistants, usually backed by
multiple QA systems. Users ask questions via spontaneous speech which can contain …
multiple QA systems. Users ask questions via spontaneous speech which can contain …