Scholar
Ilia Sucholutsky
Google Scholar ID: 6MfHyuMAAAAJ
New York University
deep learning
representation learning
small data
representational alignment
AI/ML
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Citations & Impact
All-time
Citations
1,982
H-index
19
i10-index
29
Publications
20
Co-authors
114
list available
Contact
CV
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Publications
19 items
Failing to Falsify: Evaluating and Mitigating Confirmation Bias in Language Models
2026
Cited
0
Do Large Language Models Mentalize When They Teach?
2026
Cited
0
Language Model Teams as Distributed Systems
2026
Cited
0
Under the Influence: Quantifying Persuasion and Vigilance in Large Language Models
2026
Cited
0
Why Human Guidance Matters in Collaborative Vibe Coding
2026
Cited
0
Human-AI Synergy Supports Collective Creative Search
2026
Cited
0
Measuring and mitigating overreliance is necessary for building human-compatible AI
2025
Cited
0
Using LLMs to Advance the Cognitive Science of Collectives
2025
Cited
0
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Resume (English only)
Academic Achievements
December 2024: Organizing BehavioralML Workshop at NeurIPS 2024
June 2024: Organizing LLMs and Cognition Workshop at ICML 2024
May 2024: Organizing AI session at Neuromonster 2024
May 2024: Organizing Re-Align Workshop at ICLR 2024
December 2023: Paper 'Alignment with human representations supports robust few-shot learning' accepted as Spotlight at NeurIPS 2023
August 2023: Two papers accepted at UAI 2023 as Oral and Spotlight respectively
July 2023: Organizing LLMs Meet Cognitive Science Workshop at CogSci 2023
March 2022: Awarded NSERC Postdoctoral Fellowship for STEM-AI research
June 2021: Defended PhD thesis
April 2021: Two papers accepted at IJCNN 2021
January 2021: Research profiled by Scientific American as a pathway toward democratizing AI
October 2020: LO-shot learning research featured by MIT Tech Review, Digital Trends, and others
Research Experience
Postdoc at CoCoSci Lab, Princeton University, supervised by Dr. Tom Griffiths
Visiting researcher at MIT BCS
Research affiliate at Josh Tenenbaum’s CoCoSci Lab, MIT (since January 2022)
VP of Research at Stratum AI (since August 2020), leading ML/DL methods for efficient and sustainable mining
AI Advisor at Kin-Keepers (since May 2021), supporting communication solutions for dementia patients
Co-authors
114 total
Thomas L. Griffiths
Professor of Psychology and Computer Science, Princeton University
Raja Marjieh
PhD Candidate, Princeton University
Co-author 3
Nori Jacoby
Cornell University
Katherine M. Collins
Machine Learning PhD Student at the University of Cambridge
Adrian Weller
Director of Research, Machine Learning, University of Cambridge
Pol van Rijn
PhD Candidate, Max Planck Institute for Empirical Aesthetics
Umang Bhatt
University of Cambridge
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