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doyoungkim-nlp/README.md

Hi, I am an MS student studying language models. I am a member of Language & Knowledge Lab at KAIST AI, advised by Minjoon Seo. Before studying language models, I completed my BS in Mathematics & Computer Science(double major) at KAIST.

My primary research objective revolves around developing a generalist decision making AI model. I hypothesize that the model mirrors the cognitive processes through which humans perceive, learn, and navigate their environment. My aim is to identify a processing and learning algorithm that allows AI to implicitly construct a robust world model, leveraging it internally to effectively explore its surroundings and uncover novel insights not explicitly provided during training. As a starting point for the goal, I am currently interested in following topics:

(1) Interpreting how LLM perceive the world through world model.

(2) Enhancing contemporary transformer structure and training scheme for robust decision making.

(3) Reasoning/planning in compositional, long-horizon tasks(especially in language and robotics domain).

I am currently finding for an open PhD position starting from fall 2025. I am also finding for a visiting research/internship position starting from fall 2024/spring 2025.

Feel free to contact me via email if you have any questions!

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  1. kaistAI/Semiparametric_Token-Sequence_Co-Supervision kaistAI/Semiparametric_Token-Sequence_Co-Supervision Public

    Python 8 1

  2. kaistAI/FLASK kaistAI/FLASK Public

    [ICLR 2024 Spotlight] FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets

    Python 201 17

  3. kaistAI/SelFee kaistAI/SelFee Public

    Official codebase for "SelFee: Iterative Self-Revising LLM Empowered by Self-Feedback Generation"

    Python 218 19

  4. seonghyeonye/Flipped-Learning seonghyeonye/Flipped-Learning Public

    [ICLR 2023] Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners

    Python 109 10

  5. seonghyeonye/RoSPr seonghyeonye/RoSPr Public

    [EMNLP 2023 Findings] Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt

    Python 20

  6. multilingual_finetune multilingual_finetune Public

    Python 4