| title: README | |
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| ToMMeR is a lightweight probing model (~300K params) extracting emergent mention detection capabilities from early layers representations of any LLM backbone, achieving high Zero Shot recall across a wide set of NER benchmarks. | |
| More information in the [associated ACL2026 paper](https://arxiv.org/abs/2510.19410) | |