Scholar
Vagrant Gautam
Google Scholar ID: BG7ORjIAAAAJ
Heidelberg Institute for Theoretical Studies
natural language processing
computational linguistics
trustworthy nlp
fairness
reasoning
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Citations & Impact
All-time
Citations
224
H-index
6
i10-index
6
Publications
18
Co-authors
33
list available
Contact
Email
me@dippedrusk.com
GitHub
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Publications
7 items
Queer NLP: A Critical Survey on Literature Gaps, Biases and Trends
2026
Cited
0
Whose Facts Win? LLM Source Preferences under Knowledge Conflicts
arXiv.org · 2026
Cited
0
Teaching and Critiquing Conceptualization and Operationalization in NLP
2025
Cited
0
Decoding Partial Differential Equations: Cross-Modal Adaptation of Decoder-only Models to PDEs
2025
Cited
0
Colombian Waitresses y Jueces canadienses: Gender and Country Biases in Occupation Recommendations from LLMs
2025
Cited
0
Agree to Disagree? A Meta-Evaluation of LLM Misgendering
2025
Cited
0
Aligned Probing: Relating Toxic Behavior and Model Internals
2025
Cited
0
Resume (English only)
Background
Researches the social and technical aspects of trustworthy natural language processing
Aims to enable computers to process human language fairly and faithfully
Technical work is linguistics-inspired, e.g., in pronominal reasoning and question answering
Social research examines gaps, opportunities, and societal implications in operationalizing abstract NLP concepts like democratization and gender
Values interdisciplinarity and methodological pluralism
Co-authors
33 total
Dietrich Klakow
Saarland University, Saarland Informatics Campus, PharmaScienceHub
Arjun Subramonian
FAIR (Meta Platforms Inc.)
Anne Lauscher
Professor of Data Science at the University of Hamburg
Marius Mosbach
Mila - Quebec AI Institute, McGill University
Co-author 5
Kai-Wei Chang
Associate Professor, UCLA
Co-author 7
Co-author 8
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