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ryuryukke/README.md

Hello πŸ‘‹

I am Ryuto, a PhD candidate at the Institute of Science Tokyo (Formerly Tokyo Tech), advised by Prof. Naoaki Okazaki. Currently, I am visiting the UPenn NLP, hosted by Prof. Chris Callison-Burch. I also work with Prof. Preslav Nakov from MBZUAI NLP. In addition to my PhD research, I am involved as an advisor for a startup on multi-lingual text generation.

I am interested in the discrepancy between human writing and LLM generation, aiming to understand and enhance LLM generative capabilities. To explore this, I have mainly been working on two key aspects:

  1. πŸ”Ž Detecting LLM-generated texts
  • Robustness. How can we improve the robustness of detectors in the wild? [AAAI'24]
  • Interpretability. How can we offer detection results to lay users more reliably? [In submission], How well can people detect LLM texts? What are the clues? [In submission]
  1. ✍️ Harnessing LLMs for better generation
  • Prompting. How can we instruct LLMs to unlock their generative capabilities, narrowing the gap between human writing and LLM generation? [EMNLP'24 Findings]
  • Evaluation. How can we make LLM-as-a-judge more reliable? [ACL'24 Findings]

πŸ“’ Actively looking for research internships starting in (Summer | Fall | Winter) 2025.

Contact

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  1. OUTFOX OUTFOX Public

    [AAAI 2024] The official repository for our paper, "OUTFOX: LLM-Generated Essay Detection Through In-Context Learning with Adversarially Generated Examples"

    Python 41 4

  2. HowYouPromptMatters HowYouPromptMatters Public

    [EMNLP 2024] The official repository for our long paper, "How You Prompt Matters! Even Task-Oriented Constraints in Instructions Affect LLM-Generated Text Detection"

    3