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deberta-wic-joint
Deehan1866/deberta-wic-joint
deberta-wic-joint is a machine learning model from Deehan1866. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Cross-encoder for Word-in-Context (WiC) that jointly encodes marked sentences and LLM-generated sense definitions.
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At a glance
- Model type
- deberta-v2
- Access
- Public
- Created
- May 28, 2026
- Updated
- May 28, 2026
- SHA
- 3a9d50ee
Datasets
Model card
From the Hugging Face model README
DeBERTa-v3-large: Joint Sentence + LLM Definition Training
Cross-encoder for Word-in-Context (WiC) that jointly encodes marked sentences and LLM-generated sense definitions.
Input Format
text: <tgt>word</tgt> in sentence1 [SEP] definition1 text_pair: <tgt>word</tgt> in sentence2 [SEP] definition2
Performance
| Split | Accuracy |
|---|---|
| Validation | 0.7555 |
| Test | 0.7179 |
| SenseBERT (SOTA) | 0.7210 |
- Type
- deberta-v2
- Languages
- en
- Created
- May 28, 2026
- Updated
- May 28, 2026