시리즈

DSAIL-LAB

1.[Lab #1] Efficient Dialogue State Tracking by Selectively Overwriting Memory(ACL, 2020)

Dialogue systemopen-domain dialogue system : 대화주제 자유롭게task oriented dialogue (TOD) system: 특정 task 수행TODsingle domain TOD: 하나의 작업만 수행Multi domain TOD:

2023년 4월 4일

2.[Lab #2] Training language models to follow instructions with human feedback (NeurIPS, 2022)

paper: https://proceedings.neurips.cc/paper_files/paper/2022/file/b1efde53be364a73914f58805a001731-Paper-Conference.pdfBackground: LM 모델을 더 크게 만든

2023년 4월 11일

3.[Lab #3-1] When is BERT Multilingual? Isolating Crucial Ingredients for Cross-lingual Transfer (NAACL, 2022)

InversionPermutationTransliterationSyntaxBilingual ModelMonolingual Model

2023년 4월 23일

4.[Lab #3-2] Cross-lingual learning for text processing: A survey (Expert Systems with Applications, 2021)

8\. Conclusions

2023년 4월 23일

5.[Lab #4] DDIM: Denoising Diffusion Implicit Models (ICLR, 2021)

paper: https://arxiv.org/pdf/2010.02502.pdfbackgroundgenerative modeldiffusion model1) 이미지가 주어지면 노이지를 줄여가는 diffusion process2) noise 가지고 생성하는 sam