Papers by Patrick G.T. Healey
A Dataset for Expert Reviewer Recommendation with Large Language Models as Zero-shot Rankers (2025.coling-main)
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Vanja M. Karan, Stephen McQuistin, Ryo Yanagida, Colin Perkins, Gareth Tyson, Ignacio Castro, Patrick G.T. Healey, Matthew Purver
| Challenge: | state of the art reviewer recommendation systems still have relatively high error rates . |
| Approach: | They propose to use a large language model to improve on SotA, but not a cure-all . they first create a new dataset and introduce LLMs with prompting to evaluate their performance. |
| Outcome: | The proposed approach improves on SotA but not cure-all, the authors argue . they show that the proposed approach can be extended to many related tasks . |