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squiduu/README.md

  • 👋 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)

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  1. guidebias guidebias Public

    Official scripts for "Compensatory Debiasing for Gender Imbalances in Language Models"

    Python 3

  2. knowbias knowbias Public

    Official scripts for "Improving Fairness of Language Models via Compensatory Knowledge Preservation"

    Python

  3. klue-dst-as-prompting klue-dst-as-prompting Public

    Source code of Dialogue State Tracking with a Language Modeling Schema-Driven Prompting for KLUE-DST (a.k.a WoS)

    Python 4

  4. fewshot-klue-dst-as-ds2 fewshot-klue-dst-as-ds2 Public

    Source 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

  5. swit-debias swit-debias Public

    Switching [MASK] Tokens for Gender Debiasing in Pre-trained Language Models

    Python

  6. lyan-dst lyan-dst Public

    Scripts of "Learn from Your Ancestor: Boosting Few-Shot Dialogue State Tracking with Pseudo Labels from Previous Models."

    Python