Siyan "Sylvia" Li

Computer Science, Master's / Stanford

Siyan "Sylvia" Li

Computer Science, Master's / Stanford

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I'm Siyan "Sylvia" Li.

I'm a Computer Scientist.

I'm an Improvisor.

I'm an Artist.


Second Year Master's Student @ Stanford.

My pronouns are she/her.

Interested in human-centered computing, helping machines understand humans better and improving human-AI interactions.

I want to develop virtual agents that communicate with humans better.

Profile

Name Pronunciation

Chinese Pinyin: lǐ sī yàn (Third tone, First tone, Fourth tone)

Email

siyanli@stanford.edu

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Education

M.S. in COMPUTER SCIENCE

Stanford University - Sep 2021 - June 2023, Maybe

Cumulative GPA: 4.013.

B.S. in COMPUTER SCIENCE

Georgia Institute of Technology - Aug 2017 - Dec 2020

Cumulative GPA: 3.97; Major GPA: 4.0.

Research Experience

Stanford NLP Group, Stanford University

Advisors: Dr. Chris Manning, Dr. Chris Potts

Graduate Research Assistant - Sept 2021 - Present

  • Building dialogue systems that mimic human conversational behaviors.
  • Dabbling in linguistics.

  • Affective Computing Group, University of Southern California

    Employer: Dr. Jonathan Gratch

    Research Intern - June 2022 - Sept 2022

  • Studying communication patterns in face-to-face negotiations.

  • Robotics, Evolution, and Art Lab, IT University of Copenhagen

    Employer: Dr. Sebastian Risi

    Research Assistant / Programmer - Feb 2021 - Aug 2021

  • Interactive Evolution using Neural Cellular Automata. Online interactive system for evolving Minecraft structures available here.

  • ENTERTAINMENT INTELLIGENCE LAB, Georgia Tech

    Advisor: Dr. Mark Riedl

    Undergraduate Research Assistant - Aug 2019 - Dec 2020

  • Commonsense story generation using COMET as a filter.
  • Logical story generation using a combination of VerbNet symbolic filtering and GPT-2.
  • Normative text generation using a normative text classifier as a reward model.
  • Publications

    2022

    2021

    2020

    • Reducing Non-Normative Text Generation from Language Models
      Xiangyu Peng, Siyan Li, Spencer J. Frazier, Mark O. Riedl. INLG 2020.
    • Improving Neural Storytelling with Commonsense Inferences
      Xiangyu Peng, Siyan Li, Sarah Wiegreffe, Mark O. Riedl. Extended abstract accepted into NeurIPS Women in Machine Learning Workshop.

    2019

    Thank You!

    Here are some Miscellaneous things about me!

    “How rare and beautiful it is to even exist.”

    Sleeping At Last, Saturn