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.
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Designing LLM-Based Support for Homelessness Caseworkers
Whitney Nelson,
Victor Wang,
Eunsol Choi,
Min Kyung Lee
AAAI PubLLM, 2024
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Syllable-PBWT for space-efficient haplotype long-match query
Victor Wang,
Ardalan Naseri,
Shaojie Zhang,
Degui Zhi
Bioinformatics, 2023
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P-smoother: efficient PBWT smoothing of large haplotype panels
William Yue,
Ardalan Naseri,
Victor Wang,
Pramesh Shakya,
Shaojie Zhang,
Degui Zhi
Bioinformatics Advances, 2022
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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
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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
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Schlumberger
Menlo Park, CA, Summer 2022
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Anticipating Future Tokens to Help Transformer LLMs Plan
CS 395T Topics in NLP, Fall 2023
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Multimodal Contrastive Decoding for Image Captioning
CS 395T Grounded NLP, Spring 2024
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Theory of Mind Objectives for Hanabi
CS 394R Reinforcement Learning, Spring 2024
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Paragraph Segmentation
CS 378 Natural Language Processing, Spring 2023
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Robot for Multistory Traversal
CS 378 Autonomous Driving, Fall 2023
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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!
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Last updated: 10/17/2024
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