Datasets, models generated and fine-tuned for the paper Don't Retrieve, Generate: Prompting LLMs for Synthetic Training Data in Dense Retrieval
Aarush
chungimungi
AI & ML interests
Natural Language Processing
Recent Activity
authored a paper 1 day ago
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting upvoted a paper 2 days ago
Evaluation Cards: An Interpretive Layer for AI Evaluation Reporting submitted a paper 2 days ago
ECI_{sem}: Semantic Residual Effective Contrastive Information for Evaluating Hard NegativesOrganizations
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 • 25
chungimungi/qwen_generation8
Viewer • Updated • 10.2k • 27
chungimungi/qwen_generation7
Viewer • Updated • 9.94k • 25
chungimungi/qwen_generation6
Viewer • Updated • 10.1k • 30
chungimungi/qwen_generation5
Viewer • Updated • 9.83k • 33
chungimungi/qwen_generation4
Viewer • Updated • 9.66k • 64
chungimungi/qwen_generation3
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chungimungi/qwen_generation2
Viewer • Updated • 10k • 34
chungimungi/qwen_generation1
Viewer • Updated • 9.97k • 28
chungimungi/ms-marco-cross-encoder-hard-negatives
Viewer • Updated • 398k • 25