Papers by Itamar Trainin
T5Score: A Methodology for Automatically Assessing the Quality of LLM Generated Multi-Document Topic Sets (2025.findings-acl)
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| Challenge: | Existing evaluation methods for Multi-Document Topic Extraction are not designed for LLMs and result in low inter-annotator agreement scores. |
| Approach: | They propose an evaluation methodology that decomposes the quality of a topic set into quantifiable aspects, measurable through easy-to-perform annotation tasks. |
| Outcome: | The proposed evaluation methodology decomposes the quality of a topic set into quantifiable aspects, measurable through easy-to-perform annotation tasks. |