-
👋 Hi, I’m Tae-Jin Woo
-
👀 I’m interested in Natural Language Processing (NLP), Computer Vision (CV), and Explainable Artificial Intelligence (XAI)
-
🌱 I’m currently in a laboratory of Pattern Recognition and Machine Learning (PRML), Korea University, South Korea
-
📑 What I published ...
T-J. Woo et al., "Compensatory Debiasing for Gender Imbalances in Language Models", ICASSP, 2023 (Oral)
-
PRML, Korea University, South Korea
- Seoul, South Korea
-
00:04
(UTC +09:00) - https://squiduu.github.io/
Highlights
- Pro
Block or Report
Block or report squiduu
Report abuse
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abusePinned Loading
-
knowbias
knowbias PublicOfficial scripts for "Improving Fairness of Language Models via Compensatory Knowledge Preservation"
Python
-
klue-dst-as-prompting
klue-dst-as-prompting PublicSource code of Dialogue State Tracking with a Language Modeling Schema-Driven Prompting for KLUE-DST (a.k.a WoS)
Python 4
-
fewshot-klue-dst-as-ds2
fewshot-klue-dst-as-ds2 PublicSource code of Dialogue Summaries as Dialogue States (DS2), Template-Guided Summarization for Few-shot Dialogue State Tracking for KLUE-DST (a.k.a WoS)
Python 1
-
swit-debias
swit-debias PublicSwitching [MASK] Tokens for Gender Debiasing in Pre-trained Language Models
Python
-
lyan-dst
lyan-dst PublicScripts of "Learn from Your Ancestor: Boosting Few-Shot Dialogue State Tracking with Pseudo Labels from Previous Models."
Python
Something went wrong, please refresh the page to try again.
If the problem persists, check the GitHub status page or contact support.
If the problem persists, check the GitHub status page or contact support.