Scholar
Been Kim
Google Scholar ID: aGXkhcwAAAAJ
Google DeepMind
Interpretability
Machine Learning
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Citations & Impact
All-time
Citations
27,214
H-index
45
i10-index
64
Publications
20
Co-authors
29
list available
Publications
12 items
XYEval: Agents say yes to bad advice
2026
Cited
0
Visual prompt engineering for video models
2026
Cited
0
Representational Similarity and Model Behavior in Multi-Agent Interaction
2026
Cited
0
Neologism Learning for Controllability and Self-Verbalization
2025
Cited
0
Video models are zero-shot learners and reasoners
2025
Cited
0
How many classes do we need to see for novel class discovery?
2025
Cited
0
Escaping Platos Cave: JAM for Aligning Independently Trained Vision and Language Models
2025
Cited
0
Because we have LLMs, we Can and Should Pursue Agentic Interpretability
2025
Cited
0
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Co-authors
17 total
Finale Doshi-Velez
Professor, Harvard
Martin Wattenberg
Harvard University / Google Research
Fernanda Viégas
Google, Harvard
Justin Gilmer
Google
James Wexler
Google
Pieter-Jan Kindermans
Staff Research Scientist, Google Deepmind
Sanmi Koyejo
Assistant Professor, Stanford University
Julie Shah
Professor, Department of Aeronautics and Astronautics, MIT
