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victornlp_dp's Introduction

Jinu Lee

Research Interests

To the grand goal of explainable and intelligent systems, I am currently interested in integrating deep language AI with symbolic systems, knowledge representation, and reinforcement learning.

Current research interests:

  • Explainable / Interpretable NLP training and inference
  • NLP with symbolic systems (Logic, Compiler, Knowledge base, …)
  • Language models as Reinforcement Learning agents

Career

👨‍⚖️ 07.2023 - 05.2024 Research Engineer, LBox (Legal Tech Startup)

🏫 09.2022 - 07.2023 Research Intern, SNU Language & Data Intelligence Lab (Adviser: Prof. Seungwon Hwang)

🚢 03.2021 - 09.2022 Researcher Seaman, RoK Navy Future Innovation Research Group

🎮 07.2020 - 11.2020 Research Intern, NCSOFT Language AI Lab

Education

💻 03.2018 - 08.2024 Dept. of Computer Science & Engineering, Seoul National University (Major)

📝 09.2019 - 08.2024 Dept. of Linguistics, Seoul National University (Minor)

More Information in...

🌱 Jinu Lee Profiles

Contact

✉️ [email protected]

victornlp_dp's People

Contributors

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victornlp_dp's Issues

Fine tuning decreases accuracy

Fine-tuning for contextualized/non-contextualized embeddings cause decrease in both loss and accuracy.

All training features are enabled(train() and requires_grad=True).

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