Research
My research is in natural language processing, with a focus on confidence calibration and developing trustworthy, robust models.
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Evaluating Persistent Calibration under Evolving Model Knowledge
Victor Wang,
Thomas Hofweber,
Mohit Bansal,
Elias Stengel-Eskin
arXiv 2026
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Calibrating Verbalized Confidence with Self-Generated Distractors
Victor Wang,
Elias Stengel-Eskin
ICLR 2026 [poster]
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Improving LLM-as-a-Judge Inference with the Judgment Distribution
Victor Wang,
Michael J.Q. Zhang,
Eunsol Choi
EMNLP 2025 Findings [poster]
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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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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.
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Last updated: 10/23/2026
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