Papers by Josiane Mothe

2 papers
ToMMeR - Efficient Entity Mention Detection from Large Language Models (2026.acl-long)

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Challenge: Existing methods to detect text spans that refer to entities are often conflated with entity typing in a single joint task.
Approach: They propose a lightweight model that probes mention detection capabilities from early LLM layers.
Outcome: The proposed model achieves 93% recall zero-shot with 90% precision under human-calibrated LLM-judge protocol .

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