EyeLLM: using lookback fixations to enhance human-LLM alignment for text completion

Singh, A, Torrance, M ORCID logoORCID: https://orcid.org/0000-0002-5305-4315 and Chukharev, E, 2025. EyeLLM: using lookback fixations to enhance human-LLM alignment for text completion. In: Proceedings of the 20th Workshop on Innovative Use of NLP for Building Educational Applications. Association for Computational Linguistics, pp. 841-849. ISBN 9798891762701

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Abstract

Recent advances in LLMs offer new opportunities for supporting student writing, particularly through real-time, composition-level feedback. However, for such support to be effective, LLMs need to generate text completions that align with the writer’s internal representation of their developing message, a representation that is often implicit and difficult to observe. This paper investigates the use of eye-tracking data, specifically lookback fixations during pauses in text production, as a cue to this internal representation. Using eye movement data from students composing texts, we compare human-generated completions with LLM-generated completions based on prompts that either include or exclude words and sentences fixated during pauses. We find that incorporating lookback fixations enhances human-LLM alignment in generating text completions. These results provide empirical support for generating fixation-aware LLM feedback and lay the foundation for future educational tools that deliver real-time, composition-level feedback grounded in writers’ attention and cognitive processes.

Item Type: Chapter in book
Description: Paper presented at 20th Workshop on Innovative Use of NLP for Building Educational Applications, Vienna, Austria, 31 Jul-1 Aug 2025.
Creators: Singh, A., Torrance, M. and Chukharev, E.
Publisher: Association for Computational Linguistics
Date: 25 July 2025
ISBN: 9798891762701
Identifiers:
Number
Type
10.18653/v1/2025.bea-1.61
DOI
2477228
Other
Divisions: Schools > School of Social Sciences
Record created by: Jeremy Silvester
Date Added: 25 Sep 2025 15:59
Last Modified: 25 Sep 2025 15:59
URI: https://irep.ntu.ac.uk/id/eprint/54440

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