Papers by Ömer Çağatan
UNSEE: Unsupervised Non-contrastive Sentence Embeddings (2024.eacl-long)
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| Challenge: | Unsupervised Non-Contrastive Sentence Embeddings demonstrates better performance compared to SimCSE in the Massive Text Embing (MTEB) benchmark. |
| Approach: | They introduce UNSEE, which stands for Unsupervised Non-Contrastive Sentence Embeddings, which demonstrates better performance compared to SimCSE in the Massive Text Embing benchmark. |
| Outcome: | The proposed solution achieves better performance than contrastive objectives on the Massive Text Embedding (MTEB) benchmark. |