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Code for the LREC-Coling 2024 paper "VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection"

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liam0949/LLM-OOD

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.idea
.idea
 
 
data
data
 
 
20ng.png
20ng.png
 
 
LICENSE
LICENSE
 
 
README.md
README.md
 
 
baseline.py
baseline.py
 
 
compute_ood.py
compute_ood.py
 
 
config.py
config.py
 
 
data.py
data.py
 
 
evaluation.py
evaluation.py
 
 
llama_vi.py
llama_vi.py
 
 
models.py
models.py
 
 
run.py
run.py
 
 
sst2_results 2.csv
sst2_results 2.csv
 
 
tst.py
tst.py
 
 
upload.sh
upload.sh
 
 
utils.py
utils.py
 
 

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Usage

  • Baseline training: python baseline.py --seed 999 ~ 555
  • The proposed method: python llama_vi.py --seed 999~ 555
  • Compute OOD metrics: python compute_ood.py
  • Quick results: cat ./sst2_results 2.csv

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Code for the LREC-Coling 2024 paper "VI-OOD: A Unified Representation Learning Framework for Textual Out-of-distribution Detection"

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