Models and datasets of our EMNLP 2024 paper "PairDistill: Pairwise Relevance Distillation for Dense Retrieval"
Chao-Wei Huang
chaoweihuang
AI & ML interests
None yet
Organizations
None yet
models 6
chaoweihuang/PairDistill-colbertv2
0.1B • Updated • 1
chaoweihuang/FactAlign-Phi-3-Mini
4B • Updated • 5
chaoweihuang/FactAlign-gemma-2b-sft
3B • Updated • 2
chaoweihuang/FactAlign-LLaMA-3-8B
Text Generation • 8B • Updated • 5 • 1
chaoweihuang/mistral-7B-pairwise-feedback
Updated
chaoweihuang/mt5-xl-lm-adapt
Updated • 8
datasets 9
chaoweihuang/PairDistill-dataset
Viewer • Updated • 809k • 44
chaoweihuang/factalign-llama3-f1_0.8-fg0.5
Viewer • Updated • 2.33k • 58 • 2
chaoweihuang/factalign-phi3-f1_0.7-fg0.5
Viewer • Updated • 2.33k • 11
chaoweihuang/factalign-gemma2-f1_0.75
Viewer • Updated • 2.56k • 81
chaoweihuang/lf-response-llama3-f1_100_0.8-fg1.0
Viewer • Updated • 2.33k • 10
chaoweihuang/synthetic-instruct-gptj_pairwise
Viewer • Updated • 33.1k • 173
chaoweihuang/summarize_from_feedback_pairwise
Viewer • Updated • 92.9k • 9
chaoweihuang/hh-rlhf_pairwise
Viewer • Updated • 169k • 215
chaoweihuang/SHP_pairwise
Viewer • Updated • 734k • 519