---
title: "Who cites Prompting and Evaluating Large — 75 citing papers"
description: "75 papers of the Elamur Research library cite «Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification…"
canonical: "https://research.elamur.ai/free/en/papers/deng-2023-prompting-evaluating-large-language-models/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Prompting and Evaluating Large Language Models…](https://md.research.elamur.ai/free/en/papers/deng-2023-prompting-evaluating-large-language-models/) / cited by

# Who cites «Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration»

75 papers of our library cite it (of the 141,840 whose bibliographies we read) · 2 with a page here, the most cited first · [← back to «Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration»](https://md.research.elamur.ai/free/en/papers/deng-2023-prompting-evaluating-large-language-models/)

1. **[A Teacher-Student Approach to Creating Verified Synthetic Clarification and Correction Dialogues for TableQA Tasks](https://md.research.elamur.ai/free/en/papers/poelitz-2026-teacher-student-approach-creating-verified/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Christian Poelitz, Nick McKenna*2026*
2. **[Topic-Initiator: A Proactive Chatbot with Personalized Topic RAG for Enhancing Willingness to Converse](https://md.research.elamur.ai/free/en/papers/matsuo-2026-topic-initiator-proactive-chatbot-personalized/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Kazuya Matsuo, Atsushi Otsuka, Narichika Nomoto, et al.*2026*

73 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/deng-2023-prompting-evaluating-large-language-models/) — Prompting and Evaluating Large Language Models for Proactive Dialogues: Clarification, Target-guided, and Non-collaboration