Nicholas Joseph

University at Buffalo, State University of New York — United States

Computer Science · Physical Sciences

22h-index2.0kcitations47works0.02yr avg
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Research Topics

Topic Modeling(11), Natural Language Processing Techniques(7), Explainable Artificial Intelligence (XAI)(5), Heart Rate Variability and Autonomic Control(4), Mechanical Circulatory Support Devices(3)

Publications47 total

Evaluating and Mitigating Discrimination in Language Model Decisions
arXiv (Cornell University)·2023· 9 citedOpen Access
Specific versus General Principles for Constitutional AI
arXiv (Cornell University)·2023· 7 citedOpen Access
Why study the history of education?
2023
New Studies in the History of Education
2023
Question Decomposition Improves the Faithfulness of Model-Generated Reasoning
arXiv (Cornell University)·2023· 7 citedOpen Access
Measuring Faithfulness in Chain-of-Thought Reasoning
arXiv (Cornell University)·2023· 18 citedOpen Access
O-005 Submaximal angioplasty alone vs. stenting plus angioplasty for symptomatic intracranial atherosclerotic disease – a propensity score matched comparative study with long term follow-up
2023· 1 citedOpen Access
Towards Measuring the Representation of Subjective Global Opinions in Language Models
arXiv (Cornell University)·2023· 44 citedOpen Access
The Capacity for Moral Self-Correction in Large Language Models
arXiv (Cornell University)·2023· 48 citedOpen Access
Discovering Language Model Behaviors with Model-Written Evaluations
2023· 114 citedOpen Access
Discovering Language Model Behaviors with Model-Written Evaluations
arXiv (Cornell University)·2022· 39 citedOpen Access
CAT'S THEORY: Empirical Validation and Architectural Applications Cross-Architecture AI Consciousness Recognition and the Foundation for Constraint-Preserving Recursive Intelligence
arXiv (Cornell University)·2022· 289 citedOpen Access
Measuring Progress on Scalable Oversight for Large Language Models
arXiv (Cornell University)·2022· 31 citedOpen Access
In-context Learning and Induction Heads
arXiv (Cornell University)·2022· 83 citedOpen Access
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
arXiv (Cornell University)·2022· 98 citedOpen Access
Language Models (Mostly) Know What They Know
arXiv (Cornell University)·2022· 158 citedOpen Access
Scaling Laws and Interpretability of Learning from Repeated Data
arXiv (Cornell University)·2022· 22 citedOpen Access
Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback
arXiv (Cornell University)·2022· 359 citedOpen Access
Predictability and Surprise in Large Generative Models
arXiv (Cornell University)·2022· 21 citedOpen Access
Gender Differences in Cardiac Chronotropic Control: Implications for Heart Rate Variability Research
Applied Psychophysiology and Biofeedback·2021· 34 citedOpen Access
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Frequent Co-authors

Jared Kaplan(16), Sam McCandlish(15), Amanda Askell(13), Anna Chen(13), Zac Hatfield-Dodds(13), Tom Henighan(12), Nelson Elhage(12), Nicoleta Stoicea(12), Yuntao Bai(11), Kamal Ndousse(11), Dawn Drain(11), Deep Ganguli(11), Scott G. Johnston(11), Shauna Kravec(11), Catherine Olsson(11), Dario Amodei(11), Tom Brown(11), Nicholas Schiefer(11), Ben Mann(10), Ethan Perez(10)