Datasets, models generated and fine-tuned for the paper Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval
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Aarush
chungimungi
AI & ML interests
Natural Language Processing
Recent Activity
liked a dataset 4 days ago
KaLM-Embedding/KaLM-embedding-finetuning-data upvoted a paper 12 days ago
Quantifying and Expanding the Theoretical Capacity of Late-Interaction Retrieval ModelsOrganizations
models 34
chungimungi/qwen_alignment9
Updated
chungimungi/qwen_alignment8
Updated
chungimungi/qwen_alignment7
Updated
chungimungi/qwen_alignment6
Updated
chungimungi/qwen_alignment5
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chungimungi/qwen_alignment4
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chungimungi/qwen_alignment3
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chungimungi/qwen_alignment2
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chungimungi/qwen_alignment1
Updated
chungimungi/SAE-MInAlA_Qwen3-4B-ORPO-merged-layer_22_best
Updated
datasets 30
chungimungi/qwen_generation9
Viewer • Updated • 10.2k • 13
chungimungi/qwen_generation8
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chungimungi/qwen_generation7
Viewer • Updated • 9.94k • 12
chungimungi/qwen_generation6
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chungimungi/qwen_generation5
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chungimungi/qwen_generation4
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chungimungi/qwen_generation3
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chungimungi/qwen_generation2
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chungimungi/qwen_generation1
Viewer • Updated • 9.97k • 19
chungimungi/ms-marco-cross-encoder-hard-negatives
Viewer • Updated • 398k • 10