Adam Tauman Kalai

Computer Science · Physical Sciences

42h-index8.1kcitations157works15.32yr avg
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Research Topics

Machine Learning and Algorithms(52), Machine Learning and Data Classification(27), Topic Modeling(22), Algorithms and Data Compression(21), Advanced Bandit Algorithms Research(20)

Publications157 total

Consensus Sampling for Safer Generative AI
arXiv (Cornell University)·2025Open Access
On Non-interactive Evaluation of Animal Communication Translators
arXiv (Cornell University)·2025Open Access
Layer-0 Suppressors Ground Hallucination Inevitability: A Mechanistic Account of How Transformers Trade Factuality for Hedging
ArXiv.org·2025· 10 citedOpen Access
OpenAI o1 System Card
arXiv (Cornell University)·2024· 32 citedOpen Access
Calibrated Language Models Must Hallucinate
2024· 47 citedOpen Access
Beyond dominance and Nash: Ranking equilibria by critical mass
Games and Economic Behavior·2024· 3 cited
Meta-Prompting: Enhancing Language Models with Task-Agnostic Scaffolding
arXiv (Cornell University)·2024· 15 citedOpen Access
Calibrated Language Models Must Hallucinate
arXiv (Cornell University)·2023· 7 citedOpen Access
Testing Language Model Agents Safely in the Wild
arXiv (Cornell University)·2023· 3 citedOpen Access
Self-Taught Optimizer (STOP): Recursively Self-Improving Code Generation
arXiv (Cornell University)·2023· 2 citedOpen Access
Textbooks Are All You Need
arXiv (Cornell University)·2023· 96 citedOpen Access
Do Language Models Know When They're Hallucinating References?
arXiv (Cornell University)·2023· 23 citedOpen Access
Loss Minimization Yields Multicalibration for Large Neural Networks
arXiv (Cornell University)·2023· 2 citedOpen Access
Social norm bias: residual harms of fairness-aware algorithms
Data Mining and Knowledge Discovery·2023· 8 cited
Comparing Different Approaches to Generating Mathematics Explanations Using Large Language Models
Communications in computer and information science·2023· 17 cited
A Theory of Unsupervised Translation Motivated by Understanding Animal Communication
arXiv (Cornell University)·2022· 2 citedOpen Access
Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms
arXiv (Cornell University)·2022Open Access
Partial Matrix Completion
arXiv (Cornell University)·2022Open Access
Using Large Language Models to Simulate Multiple Humans and Replicate Human Subject Studies
arXiv (Cornell University)·2022· 123 citedOpen Access
Language Models Can Teach Themselves to Program Better
arXiv (Cornell University)·2022· 17 citedOpen Access
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Frequent Co-authors

Avrim Blum(8), Santosh Vempala(5), Tolga Bolukbasi(3), Kai-Wei Chang(3), James Zou(3), Venkatesh Saligrama(3), Adam R. Klivans(3), Yishay Mansour(3), Rocco A. Servedio(3), Ankur Moitra(3), Omer Tamuz(3), Ohad Shamir(3), Sham M. Kakade(3), Abraham D. Flaxman(2), Hal Wasserman(2), Christian Borgs(2), Jennifer Chayes(2), Moshe Tennenholtz(2), Gregory Valiant(2), Ce Liu(2)