Information Retrieval On Ms Marco

Time (ms)

Results

Performance results of various models on this benchmark

		Paper Title
ConAE-256	0.3294	Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder
ConAE-128	0.3245	Dimension Reduction for Efficient Dense Retrieval via Conditional Autoencoder
RetroMAE v2	-	RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models

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