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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)

Pinned

  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