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nickprock/multi-sentence-BERTino
Sentence Similarity • 67.6M • Updated • 844 • 7 -
nickprock/sentence-bert-base-italian-uncased
Sentence Similarity • 0.1B • Updated • 11.9k • • 10 -
nickprock/sentence-bert-base-italian-xxl-uncased
Sentence Similarity • 0.1B • Updated • 15.6k • • 16 -
nickprock/mmarco-bert-base-italian-uncased
Sentence Similarity • 0.1B • Updated • 125 • 2
Nicola Procopio
nickprock
AI & ML interests
Digital Health
Semantic Search - Vector Search
Organizations
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nickprock/bert-italian-finetuned-ner
Token Classification • 0.1B • Updated • 69 • 8 -
nickprock/modernbert-italian-finetuned-ner
Token Classification • 0.1B • Updated • 252 • 1 -
nickprock/bert-finetuned-ner-ontonotes
Token Classification • 0.1B • Updated • 28 -
nickprock/distilbert-finetuned-ner-ontonotes
Token Classification • 65.2M • Updated • 27
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Is Cosine-Similarity of Embeddings Really About Similarity?
Paper • 2403.05440 • Published • 3 -
GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning
Paper • 2402.16829 • Published -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 55 -
KAN: Kolmogorov-Arnold Networks
Paper • 2404.19756 • Published • 115
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nickprock/multi-sentence-BERTino
Sentence Similarity • 67.6M • Updated • 844 • 7 -
nickprock/sentence-bert-base-italian-uncased
Sentence Similarity • 0.1B • Updated • 11.9k • • 10 -
nickprock/sentence-bert-base-italian-xxl-uncased
Sentence Similarity • 0.1B • Updated • 15.6k • • 16 -
nickprock/mmarco-bert-base-italian-uncased
Sentence Similarity • 0.1B • Updated • 125 • 2
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nickprock/bert-italian-finetuned-ner
Token Classification • 0.1B • Updated • 69 • 8 -
nickprock/modernbert-italian-finetuned-ner
Token Classification • 0.1B • Updated • 252 • 1 -
nickprock/bert-finetuned-ner-ontonotes
Token Classification • 0.1B • Updated • 28 -
nickprock/distilbert-finetuned-ner-ontonotes
Token Classification • 65.2M • Updated • 27
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Is Cosine-Similarity of Embeddings Really About Similarity?
Paper • 2403.05440 • Published • 3 -
GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning
Paper • 2402.16829 • Published -
Make Your LLM Fully Utilize the Context
Paper • 2404.16811 • Published • 55 -
KAN: Kolmogorov-Arnold Networks
Paper • 2404.19756 • Published • 115