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ryokamoi/README.md

Ryo Kamoi is a Ph.D. student at Penn State University, advised by Dr. Rui Zhang. He is broadly interested in Natural Language Processing, with a specific focus on:

  • LLM Reasoning
    • Error Detection and Reward Modeling
    • Self-Correction and Verifier-Guided Refinement
  • Fact-checking, factuality evaluation, and textual entailment
  • Vision-language models

[Personal Website] [Google Scholar] [Semantic Scholar]

Models and Training Datasets

Evaluation Datasets

Text

Vision-language

Survey

Other Resources

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  1. psunlpgroup/FoVer psunlpgroup/FoVer Public

    This repository includes code and materials for the paper "Training Step-Level Reasoning Verifiers with Formal Verification Tools".

    Python 6

  2. psunlpgroup/VisOnlyQA psunlpgroup/VisOnlyQA Public

    This repository contains the code and data for the paper "VisOnlyQA: Large Vision Language Models Still Struggle with Visual Perception of Geometric Information" (COLM 2025)

    Python 23 1

  3. psunlpgroup/ReaLMistake psunlpgroup/ReaLMistake Public

    This repository includes a benchmark and code for the paper "Evaluating LLMs at Detecting Errors in LLM Responses".

    Python 30 3

  4. wice wice Public

    This repository contains the dataset and code for "WiCE: Real-World Entailment for Claims in Wikipedia" in EMNLP 2023.

    Python 41 1

  5. llm-self-correction-papers llm-self-correction-papers Public

    List of papers on Self-Correction of LLMs.

    73 2

  6. QA-metrics-human-annotation QA-metrics-human-annotation Public

    Human Generated Questions in ''Shortcomings of Question Answering Based Factuality Frameworks for Error Localization'' (EACL2023)

    1

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