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SmartProbe: A Virtual Moderator for Market Research Surveys

arXiv 2305.08271 ↗First posted 14 May 2023cs.CLcited by 1

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Abstract (arXiv)

Market research surveys are a powerful methodology for understanding consumer perspectives at scale, but are limited by depth of understanding and insights. A virtual moderator can introduce elements of qualitative research into surveys, developing a rapport with survey participants and dynamically asking probing questions, ultimately to elicit more useful information for market researchers. In this work, we introduce tt SmartProbe, an API which leverages the adaptive capabilities of large language models (LLMs), and incorporates domain knowledge from market research, in order to generate effective probing questions in any market research survey. We outline the modular processing flow of tt SmartProbe, and evaluate the quality and effectiveness of its generated probing questions. We believe our efforts will inspire industry practitioners to build real-world applications based on the latest advances in LLMs. Our demo is publicly available at https://nexxt.in/smartprobe-demo

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 5 of its 14 references that are in the map. First posted on arXiv 14 May 2023.

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5 of 14 references.

References · 5

  1. 2022Training language models to follow instructions with human feedbackcited by 15,712
  2. 2020Adding Chit-Chat to Enhance Task-Oriented Dialoguescited by 48
  3. 2019Answer-based Adversarial Training for Generating Clarification Questionscited by 42
  4. 2015Evaluating Prerequisite Qualities for Learning End-to-End Dialog Systemscited by 34
  5. 2016Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpuscited by 33

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