Publications

What explains the success of cross-modal fine-tuning with ORCA?
{P. García-de-Herreros, V. Gautam}, P. Slusallek, D. Klakow, M.Mosbach.
Workshop on Insights from Negative Results in NLP, 2024 (to appear).

A Lightweight Method to Generate Unanswerable Questions in English
V. Gautam, M. Zhang, and D. Klakow.
Findings of EMNLP, 2023.

Factoring the Matrix of Domination: A Critical Review and Reimagination of Intersectionality in AI Fairness
A. Ovalle, A. Subramonian, V. Gautam, G. Gee, and K-W Chang.
AIES, 2023.

Avengers, Ensemble! Benefits of ensembling in grapheme-to-phoneme prediction
V. Gautam, W. Y. Li, Z. Mahmood, F. Mailhot, S. Nadig, R. Wang, and N. Zhang.
SIGMORPHON, 2021.

The Gender Gap Tracker: Using Natural Language Processing to measure gender bias in media
F. T. Asr, M. Mazraeh, A. Lopes, V. Gautam, J. Gonzales, P. Rao, and M. Taboada.
PLoS ONE, 2021.

Preprints

Robust Pronoun Use Fidelity with English LLMs: Are they Reasoning, Repeating, or Just Biased?
V. Gautam, E. Bingert, D. Zhu, A. Lauscher, D. Klakow. 2024.

The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis
M. Zhang, V. Gautam, M. Wang, J. O. Alabi, X. Shen, D. Klakow, M. Mosbach. 2024.

Where I've worked

• PhD Candidate and Researcher at Saarland University's Spoken Language Systems group (language modelling; domain adaptation; question answering; Python)
• Speech Recognition Engineer at Dialpad (class-based language modelling; on-the-fly domain adaptation; Python, some C++)
• Research Assistant at the SFU Discourse Processing Lab (topic modelling, toxicity and constructiveness in online comments; corpus linguistics; evaluating gender bias through NLP; Python, some R)
• Software Engineering Intern at GE Digital (full-stack with a focus on backend engineering; XLST, some Java)
• Research Assistant at the SFU Phonological Processing Lab (experimental phonology using eye-tracking; SR Research Experiment Builder, MATLAB)