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Conversational Grounding in Large Language Models: Evaluation Methods, Challenges and Future Directions

A survey by Michelle Elizabeth, Gwénolé Lecorvé, Lina M. Rojas Barahona, and Magalie Ochs, presented at the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL) in August 2026, finds that conversational grounding—the collaborative process of establishing mutual understanding—remains a challenge for instruction-following Large Language Models (LLMs). The paper reviews evaluation methods, including explicit modeling via dialogue acts and mental states, and implicit evaluation through collaborative task outcomes, while highlighting limitations in current methodology and metrics.

read1 min views1 publishedJul 21, 2026
Conversational Grounding in Large Language Models: Evaluation Methods, Challenges and Future Directions
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Conversational Grounding in Large Language Models: Evaluation Methods, Challenges and Future Directions

[Michelle Elizabeth](/people/michelle-elizabeth/unverified/),
[Gwénolé Lecorvé](/people/gwenole-lecorve/unverified/),
[Lina M. Rojas Barahona](/people/lina-m-rojas-barahona-4695/),
[Magalie Ochs](/people/magalie-ochs/unverified/)
Abstract

Conversational grounding is the collaborative process through which speakers establish and maintain mutual understanding. It is essential for the success of a dialogue. While it is inherent in human conversations, it remains a challenge for instruction-following Large Language Models (LLM). This paper surveys how conversational grounding is evaluated in task-oriented dialogue in the current era of LLMs. First, we focus on how conversational grounding is modelled explicitly — using dialogue acts and by modelling the participant mental state. Then, we review collaborative tasks that enable the evaluation of conversational grounding implicitly at the global level based on outcomes. Finally, we highlight the limitations of evaluation, notably the current methodology and metrics used, and outline research directions in conversational grounding and its evaluation.- Anthology ID:

- 2026.sigdial-1.11
- Volume:
[Proceedings of the 27th Annual Meeting of the Special Interest Group on Discourse and Dialogue](/volumes/2026.sigdial-1/)- Month:
  • August
  • Year:
  • 2026
  • Address:
  • Atlanta, Georgia, USA
- Editors:
[Jinho D. Choi](/people/jinho-d-choi/),[Yun-Nung Chen](/people/yun-nung-chen/),[Kotaro Funakoshi](/people/kotaro-funakoshi/),[Ali Emami](/people/ali-emami/)- Venue:
[SIGDIAL](/venues/sigdial/)- SIG:
[SIGDIAL](/sigs/sigdial/)- Publisher:
  • Association for Computational Linguistics
- Note:
- Pages:
  • 151–163
- Language:
- URL:
[https://aclanthology.org/2026.sigdial-1.11/](https://aclanthology.org/2026.sigdial-1.11/)- DOI:
- Cite (ACL):
[Conversational Grounding in Large Language Models: Evaluation Methods, Challenges and Future Directions](https://aclanthology.org/2026.sigdial-1.11/)(Elizabeth et al., SIGDIAL 2026)- PDF:
[https://aclanthology.org/2026.sigdial-1.11.pdf](https://aclanthology.org/2026.sigdial-1.11.pdf)
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