@inproceedings{domingo-etal-2025-mention,
title = "Mention detection with {LLM}s in pair-programming dialogue",
author = "Domingo, Cecilia and
Piwek, Paul and
Stoyanchev, Svetlana and
Wermelinger, Michel",
editor = "Ogrodniczuk, Maciej and
Novak, Michal and
Poesio, Massimo and
Pradhan, Sameer and
Ng, Vincent",
booktitle = "Proceedings of the Eighth Workshop on Computational Models of Reference, Anaphora and Coreference",
month = nov,
year = "2025",
address = "Suzhou, China",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.crac-1.4/",
pages = "42--54",
abstract = "We tackle the task of mention detection for pair-programming dialogue, a setting which adds several challenges to the task due to the characteristics of natural dialogue, the dynamic environment of the dialogue task, and the domain-specific vocabulary and structures. We compare recent variants of the Llama and GPT families and explore different prompt and context engineering approaches. While aspects like hesitations and references to read-out code and variable names made the task challenging, GPT 4.1 approximated human performance when we provided few-shot examples similar to the inference text and corrected formatting errors."
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<abstract>We tackle the task of mention detection for pair-programming dialogue, a setting which adds several challenges to the task due to the characteristics of natural dialogue, the dynamic environment of the dialogue task, and the domain-specific vocabulary and structures. We compare recent variants of the Llama and GPT families and explore different prompt and context engineering approaches. While aspects like hesitations and references to read-out code and variable names made the task challenging, GPT 4.1 approximated human performance when we provided few-shot examples similar to the inference text and corrected formatting errors.</abstract>
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%0 Conference Proceedings
%T Mention detection with LLMs in pair-programming dialogue
%A Domingo, Cecilia
%A Piwek, Paul
%A Stoyanchev, Svetlana
%A Wermelinger, Michel
%Y Ogrodniczuk, Maciej
%Y Novak, Michal
%Y Poesio, Massimo
%Y Pradhan, Sameer
%Y Ng, Vincent
%S Proceedings of the Eighth Workshop on Computational Models of Reference, Anaphora and Coreference
%D 2025
%8 November
%I Association for Computational Linguistics
%C Suzhou, China
%F domingo-etal-2025-mention
%X We tackle the task of mention detection for pair-programming dialogue, a setting which adds several challenges to the task due to the characteristics of natural dialogue, the dynamic environment of the dialogue task, and the domain-specific vocabulary and structures. We compare recent variants of the Llama and GPT families and explore different prompt and context engineering approaches. While aspects like hesitations and references to read-out code and variable names made the task challenging, GPT 4.1 approximated human performance when we provided few-shot examples similar to the inference text and corrected formatting errors.
%U https://aclanthology.org/2025.crac-1.4/
%P 42-54
Markdown (Informal)
[Mention detection with LLMs in pair-programming dialogue](https://aclanthology.org/2025.crac-1.4/) (Domingo et al., CRAC 2025)
ACL
- Cecilia Domingo, Paul Piwek, Svetlana Stoyanchev, and Michel Wermelinger. 2025. Mention detection with LLMs in pair-programming dialogue. In Proceedings of the Eighth Workshop on Computational Models of Reference, Anaphora and Coreference, pages 42–54, Suzhou, China. Association for Computational Linguistics.