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
Collections
2
models
6
chaoweihuang/PairDistill-colbertv2
Updated
•
9
chaoweihuang/FactAlign-Phi-3-Mini
Updated
•
18
chaoweihuang/FactAlign-gemma-2b-sft
Updated
•
8
chaoweihuang/FactAlign-LLaMA-3-8B
Text Generation
•
Updated
•
21
•
1
chaoweihuang/mistral-7B-pairwise-feedback
Updated
chaoweihuang/mt5-xl-lm-adapt
Text2Text Generation
•
Updated
•
18
datasets
9
chaoweihuang/PairDistill-dataset
Viewer
•
Updated
•
809k
•
17
chaoweihuang/factalign-llama3-f1_0.8-fg0.5
Viewer
•
Updated
•
2.33k
•
76
•
2
chaoweihuang/factalign-phi3-f1_0.7-fg0.5
Viewer
•
Updated
•
2.33k
•
68
chaoweihuang/factalign-gemma2-f1_0.75
Viewer
•
Updated
•
2.56k
•
144
chaoweihuang/lf-response-llama3-f1_100_0.8-fg1.0
Viewer
•
Updated
•
2.33k
•
56
chaoweihuang/synthetic-instruct-gptj_pairwise
Viewer
•
Updated
•
33.1k
•
64
chaoweihuang/summarize_from_feedback_pairwise
Viewer
•
Updated
•
92.9k
•
63
chaoweihuang/hh-rlhf_pairwise
Viewer
•
Updated
•
169k
•
68
chaoweihuang/SHP_pairwise
Viewer
•
Updated
•
734k
•
76