Hcompany/NeoMME-800M-Pretrain-predecay-s450000
Fill-Mask • 0.8B • Updated • 27 • 3
Paulo Moura
paulomouraj
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NLP Research
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Hcompany/NeoMME-260M-Pretrain-predecay-s450000
Fill-Mask • 0.3B • Updated • 29 • 3
Hcompany/NeoMME-800M-Retriever-ST-dense
Sentence Similarity • 0.8B • Updated • 79 • 3
Hcompany/NeoMME-800M-Retriever-ST-late
Visual Document Retrieval • 0.8B • Updated • 38 • 4
Hcompany/NeoMME-800M-Retriever
Visual Document Retrieval • 0.8B • Updated • 219 • 7
Hcompany/NeoMME-260M-Retriever-ST-dense
Sentence Similarity • 0.3B • Updated • 55 • 4
Hcompany/NeoMME-260M-Retriever-ST-late
Visual Document Retrieval • 0.3B • Updated • 89 • 5
Hcompany/NeoMME-260M-Retriever
Visual Document Retrieval • 0.3B • Updated • 399 • 5
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commented on mLateOn: A New SoTA for Multilingual ColBERT-Style Retrieval, Evaluated on HAKARI-Bench 20 days ago
Nice work! Thank you very much for the evals. Just wild to see our 300M model to be this strong against much larger dense systems.
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mLateOn: A New SoTA for Multilingual ColBERT-Style Retrieval, Evaluated on HAKARI-Bench
hotchpotch
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