Datasets, models generated and fine-tuned for the paper Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval
👋 Open to Work
Aarush
chungimungi
AI & ML interests
Natural Language Processing
Organizations
models 34
chungimungi/qwen_alignment9
Updated
chungimungi/qwen_alignment8
Updated
chungimungi/qwen_alignment7
Updated
chungimungi/qwen_alignment6
Updated
chungimungi/qwen_alignment5
Updated
chungimungi/qwen_alignment4
Updated
chungimungi/qwen_alignment3
Updated
chungimungi/qwen_alignment2
Updated
chungimungi/qwen_alignment1
Updated
chungimungi/SAE-MInAlA_Qwen3-4B-ORPO-merged-layer_22_best
Updated
datasets 30
chungimungi/qwen_generation9
Viewer • Updated • 10.2k • 8
chungimungi/qwen_generation8
Viewer • Updated • 10.2k • 6
chungimungi/qwen_generation7
Viewer • Updated • 9.94k • 4
chungimungi/qwen_generation6
Viewer • Updated • 10.1k • 8
chungimungi/qwen_generation5
Viewer • Updated • 9.83k • 7
chungimungi/qwen_generation4
Viewer • Updated • 9.66k • 13
chungimungi/qwen_generation3
Viewer • Updated • 10.2k • 5
chungimungi/qwen_generation2
Viewer • Updated • 10k • 7
chungimungi/qwen_generation1
Viewer • Updated • 9.97k • 7
chungimungi/ms-marco-cross-encoder-hard-negatives
Viewer • Updated • 398k • 18