Finding Evidence of Communication Behaviors using LLMs

Tazin Afrin; Saed Rezayi; Janet Mee; Polina Harik; Le An Ha

Finding Evidence of Communication Behaviors using LLMs

Tazin Afrin, Saed Rezayi, Janet Mee, Polina Harik, Le An Ha

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Abstract

This study compares two automated scoring approaches to identify communication behaviors in physician responses to patient questions: prompt-based scoring with Large Language Models (LLM) and supervised transformer-based models. Our results show that although transformer-based models provide more consistent performance, competitive LLM performance is promising in reducing the need for extensive annotated training data.

Anthology ID:: 2026.aimecon-wip.14
Volume:: Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
Month:: October
Year:: 2026
Address:: Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
Editors:: Joshua Wilson, Christopher Ormerod, Magdalen Beiting-Parrish
Venue:: AIME-Con
SIG:
Publisher:: National Council on Measurement in Education (NCME)
Note:
Pages:: 100–103
Language:
URL:: https://aclanthology.org/2026.aimecon-wip.14/
DOI:
Bibkey:
Cite (ACL):: Tazin Afrin, Saed Rezayi, Janet Mee, Polina Harik, and Le An Ha. 2026. Finding Evidence of Communication Behaviors using LLMs. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 100–103, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).
Cite (Informal):: Finding Evidence of Communication Behaviors using LLMs (Afrin et al., AIME-Con 2026)
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PDF:: https://aclanthology.org/2026.aimecon-wip.14.pdf

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@inproceedings{afrin-etal-2026-finding,
    title = "Finding Evidence of Communication Behaviors using {LLM}s",
    author = "Afrin, Tazin  and
      Rezayi, Saed  and
      Mee, Janet  and
      Harik, Polina  and
      Ha, Le An",
    editor = "Wilson, Joshua  and
      Ormerod, Christopher  and
      Beiting-Parrish, Magdalen",
    booktitle = "Proceedings of the Artificial Intelligence in Measurement and Education Conference ({AIME}-Con): Works in Progress",
    month = oct,
    year = "2026",
    address = "Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States",
    publisher = "National Council on Measurement in Education (NCME)",
    url = "https://aclanthology.org/2026.aimecon-wip.14/",
    pages = "100--103",
    ISBN = "979-8-9983004-1-7",
    abstract = "This study compares two automated scoring approaches to identify communication behaviors in physician responses to patient questions: prompt-based scoring with Large Language Models (LLM) and supervised transformer-based models. Our results show that although transformer-based models provide more consistent performance, competitive LLM performance is promising in reducing the need for extensive annotated training data."
}

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%0 Conference Proceedings
%T Finding Evidence of Communication Behaviors using LLMs
%A Afrin, Tazin
%A Rezayi, Saed
%A Mee, Janet
%A Harik, Polina
%A Ha, Le An
%Y Wilson, Joshua
%Y Ormerod, Christopher
%Y Beiting-Parrish, Magdalen
%S Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress
%D 2026
%8 October
%I National Council on Measurement in Education (NCME)
%C Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States
%@ 979-8-9983004-1-7
%F afrin-etal-2026-finding
%X This study compares two automated scoring approaches to identify communication behaviors in physician responses to patient questions: prompt-based scoring with Large Language Models (LLM) and supervised transformer-based models. Our results show that although transformer-based models provide more consistent performance, competitive LLM performance is promising in reducing the need for extensive annotated training data.
%U https://aclanthology.org/2026.aimecon-wip.14/
%P 100-103

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Markdown (Informal)

[Finding Evidence of Communication Behaviors using LLMs](https://aclanthology.org/2026.aimecon-wip.14/) (Afrin et al., AIME-Con 2026)

Finding Evidence of Communication Behaviors using LLMs (Afrin et al., AIME-Con 2026)

ACL

Tazin Afrin, Saed Rezayi, Janet Mee, Polina Harik, and Le An Ha. 2026. Finding Evidence of Communication Behaviors using LLMs. In Proceedings of the Artificial Intelligence in Measurement and Education Conference (AIME-Con): Works in Progress, pages 100–103, Wyndham Grand Pittsburgh Downtown, Pittsburgh, Pennsylvania, United States. National Council on Measurement in Education (NCME).