Victor Wang

I recently completed my undergrad at UT Austin, advised by Elias Stengel-Eskin and previously Eunsol Choi. I graduated from the Turing Scholars honors program, studying computer science and mathematics. I plan to start my PhD in Fall 2026!

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Research

My research is in natural language processing, with current interests in confidence calibration, latent reasoning, and efficiency.

Calibrating Verbalized Confidence with Self-Generated Distractors
Victor Wang, Elias Stengel-Eskin
ICLR 2026
Improving LLM-as-a-Judge Inference with the Judgment Distribution
Victor Wang, Michael J.Q. Zhang, Eunsol Choi
EMNLP 2025 Findings
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
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    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.
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    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.
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    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.
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    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.
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    Robot for Multistory Traversal
    CS 378 Autonomous Driving, Fall 2023
  • We implement a robot that interacts with human passerby to travel on an elevator.
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    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! I extended my undergraduate studies to study abroad at Kyoto University in Spring 2025, where I took courses taught in Japanese on linguistics, philosophy, and law. Feel free to reach out if you're interested in learning Japanese!

    Last updated: 1/28/2026