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SeungoneKim/README.md

Seungone Kim (김승원)

Info about me...

Hello! I am an incoming Ph.D. student at Carnegie Mellon University and a M.S. Student at KAIST, advised by Minjoon Seo.

My primary research focus lies establishing a science of language model behaviors.
Concretely, my research interests include: (i) developing LLM evaluation frameworks that systematically identify what specific capabilities language models lack and (ii) improving language models with (human) feedback.

Reach out to me via email (seungone@cmu.edu) if you have any questions, or would like to collaborate with me!

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  1. prometheus-eval/prometheus-eval prometheus-eval/prometheus-eval Public

    Evaluate your LLM's response with Prometheus and GPT4 💯

    Python 671 34

  2. prometheus-eval/prometheus prometheus-eval/prometheus Public

    [ICLR 2024 & NeurIPS 2023 WS] An Evaluator LM that is open-source, offers reproducible evaluation, and inexpensive to use. Specifically designed for fine-grained evaluation on a customized score ru…

    Python 278 18

  3. prometheus-eval/prometheus-vision prometheus-eval/prometheus-vision Public

    [ACL 2024 Findings & ICLR 2024 WS] An Evaluator VLM that is open-source, offers reproducible evaluation, and inexpensive to use. Specifically designed for fine-grained evaluation on customized scor…

    Python 45 6

  4. kaistAI/CoT-Collection kaistAI/CoT-Collection Public

    [EMNLP 2023] The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

    Python 193 9

  5. CoTEVer CoTEVer Public

    [EACL 2023] CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification

    Python 35 3

  6. SICK_Summarization SICK_Summarization Public

    [COLING 2022] Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization

    Python 24 16