Victor Wang

I'm a fourth year undergraduate student at UT Austin, advised by Eunsol Choi. I am in the Turing Scholars honors program, studying computer science and mathematics.

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Research

My current interests are natural language understanding and generation. I'm interested in studying the training objectives, model design, and inference procedures that allow for models to be controllable and versatile. I believe in building models that act as a dependable, human-interfaceable model of people and the world.

Designing LLM-Based Support for Homelessness Caseworkers
Whitney Nelson, Victor Wang, Eunsol Choi, Min Kyung Lee
AAAI PubLLM, 2024
Syllable-PBWT for space-efficient haplotype long-match query
Victor Wang, Ardalan Naseri, Shaojie Zhang, Degui Zhi
Bioinformatics, 2023
P-smoother: efficient PBWT smoothing of large haplotype panels
William Yue, Ardalan Naseri, Victor Wang, Pramesh Shakya, Shaojie Zhang, Degui Zhi
Bioinformatics Advances, 2022
MorphSet: Improving Renal Histopathology Case Assessment Through Learned Prognostic Vectors
Pietro Antonio Cicalese, Syed Asad Rizvi, Victor Wang, Sai Patibandla, Pengyu Yuan, Samira Zare, Katharina Moos, Ibrahim Batal, Marian Clahsen-van Groningen, Candice Roufosse, Jan Becker, Chandra Mohan, Hien Van Nguyen
MICCAI, 2021
Polaratio: A magnitude-contingent monotonic correlation metric and its improvements to scRNA-seq clustering
Victor Wang, Pietro Antonio Cicalese, Anto Sam Crosslee Louis Sam Titus, Chandra Mohan
bioRxiv, 2020

Industry

Schlumberger
Menlo Park, CA, Summer 2022
  • Created an application to allow a robot to locate a sound source and approach it
  • Worked with sensors such as a lidar, microphone array, and event-based camera
  • Projects

    Anticipating Future Tokens to Help Transformer LLMs Plan
    CS 395T Topics in NLP, Fall 2023
  • Project proposal: We train a transformer LM to predict and condition on a quasi-bag-of-words of future tokens, forming a planning signal separate from the model's textual output.
  • Multimodal Contrastive Decoding for Image Captioning
    CS 395T Grounded NLP, Spring 2024
  • We apply multimodal contrastive decoding to multilingual image captioning, with a multimodal expert model and single-modal amateur models.
  • Theory of Mind Objectives for Hanabi
    CS 394R Reinforcement Learning, Spring 2024
  • In the cooperative card game of Hanabi, we train an agent to predict its own cards, and use these predictions to bootstrap training for higher order beliefs.
  • Paragraph Segmentation
    CS 378 Natural Language Processing, Spring 2023
  • We add coreference-based attention to a transformer for the task of paragraph segmentation, which has applications in writing assistance.
  • Robot for Multistory Traversal
    CS 378 Autonomous Driving, Fall 2023
  • We implement a robot that interacts with human passerby to travel on an elevator.
  • Personal

    I enjoy learning languages. I have studied Spanish and Japanese and am now learning Mandarin. In December 2023, I passed the JLPT N1 with a score of 172/180. Check out my post on recommendations from my journey!

    Last updated: 10/17/2024