Dario Amodei

发表

Fine-Tuning Language Models from Human Preferences pdf

Alec Radford, Dario Amodei, Tom B. Brown, 2019, ArXiv.

Scaling Laws for Autoregressive Generative Modeling pdf

Mark Chen, Alec Radford, Heewoo Jun, 2020, ArXiv.

Mapping a Complete Neural Population in the Retina

Michael J. Berry, Dario Amodei, O. Marre, 2012, The Journal of Neuroscience.

Concrete Problems in AI Safety pdf

John Schulman, Dario Amodei, Chris Olah, 2016, ArXiv.

Language Models are Unsupervised Multitask Learners

Ilya Sutskever, Alec Radford, David Luan, 2019 .

Scaling Laws for Neural Language Models pdf

Alec Radford, Tom Henighan, Jared Kaplan, 2020, ArXiv.

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin pdf

Chong Wang, Xiangang Li, Yi Wang, 2015, ICML.

Language Models are Few-Shot Learners pdf

Mark Chen, Ilya Sutskever, Alec Radford, 2020, NeurIPS.

An Empirical Model of Large-Batch Training pdf

Dario Amodei, Sam McCandlish, Jared Kaplan, 2018, ArXiv.

Benchmarking Safe Exploration in Deep Reinforcement Learning

Dario Amodei, Joshua Achiam, 2019 .

The simplest maximum entropy model for collective behavior in a neural network

Michael J. Berry, Dario Amodei, W. Bialek, 2012, 1207.6319.

Thermodynamics for a network of neurons: Signatures of criticality

Michael J. Berry, Dario Amodei, W. Bialek, 2014, 1407.5946.

Thermodynamics and signatures of criticality in a network of neurons

Michael J. Berry, Dario Amodei, W. Bialek, 2015, Proceedings of the National Academy of Sciences.

Physical principles for scalable neural recording

Jan M. Rabaey, Konrad P. Körding, Elad Alon, 2013, Front. Comput. Neurosci..

AI safety via debate pdf

Dario Amodei, Geoffrey Irving, Paul Francis Christiano, 2018, ArXiv.

Searching for Collective Behavior in a Large Network of Sensory Neurons

Michael J. Berry, William Bialek, Elad Schneidman, 2013, PLoS Comput. Biol..

Network-Scale Electrophysiology: Measuring and Understanding the Collective Behavior of Neural Circuits

Dario Amodei, 2011 .

Low error discrimination using a correlated population code.

Michael J. Berry, Dario Amodei, Jakob Macke, 2012, Journal of neurophysiology.

Amphibian Retina Form and Function of on-off Amacrine Cells in the

Michael J. Berry, Dario Amodei, O. Marre, 2015 .

Scaling Laws and Interpretability of Learning from Repeated Data

Tom B. Brown, Dario Amodei, T. Henighan, 2022, ArXiv.

Language Models (Mostly) Know What They Know

Tom B. Brown, Dario Amodei, T. Henighan, 2022, ArXiv.

In-context Learning and Induction Heads

Tom B. Brown, Dario Amodei, T. Henighan, 2022, ArXiv.

Predictability and Surprise in Large Generative Models

Tom B. Brown, Dario Amodei, T. Henighan, 2022, FAccT.

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Tom B. Brown, Dario Amodei, T. Henighan, 2022, ArXiv.

Ising Models for >40 Ganglion Cells in a Dense Patch of Salamander Retina

Michael J. Berry, Dario Amodei, G. Schwartz, 2008 .

Toy Models of Superposition

Dario Amodei, T. Henighan, Sam McCandlish, 2022, ArXiv.

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned

Tom B. Brown, Dario Amodei, T. Henighan, 2022, ArXiv.

Measuring Progress on Scalable Oversight for Large Language Models

Tom B. Brown, Dario Amodei, Azalia Mirhoseini, 2022, ArXiv.

Discovering Language Model Behaviors with Model-Written Evaluations

Tom B. Brown, Dario Amodei, T. Henighan, 2022, ACL.

Multi-electrode array recording from salamander retinal ganglion cells

Michael J. Berry, Dario Amodei, W. Bialek, 2017 .

The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation pdf

Hyrum S. Anderson, Joanna Bryson, Roman Yampolskiy, 2018, ArXiv.

A General Language Assistant as a Laboratory for Alignment pdf

Dario Amodei, Tom Henighan, Tom B. Brown, 2021, ArXiv.

The Capacity for Moral Self-Correction in Large Language Models

Tom B. Brown, Dario Amodei, Azalia Mirhoseini, 2023, ArXiv.

Deep Reinforcement Learning from Human Preferences

Shane Legg, Jan Leike, Dario Amodei, 2017, NIPS.

Constitutional AI: Harmlessness from AI Feedback

Tom B. Brown, Dario Amodei, Azalia Mirhoseini, 2022, ArXiv.

Language Models (Mostly) Know What They Know

Tom B. Brown, Dario Amodei, T. Henighan, 2022, ArXiv.

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Tom B. Brown, Dario Amodei, T. Henighan, 2022, ArXiv.

Learning to summarize from human feedback

Ryan J. Lowe, Daniel M. Ziegler, Nisan Stiennon, 2020, NeurIPS 2020.

Fine-Tuning Language Models from Human Preferences

Tom B. Brown, Daniel M. Ziegler, Nisan Stiennon, 2019, ArXiv.

Evaluating Large Language Models Trained on Code pdf

Wojciech Zaremba, Lukasz Kaiser, Peter Welinder, 2021, ArXiv.

Variational Option Discovery Algorithms pdf

Pieter Abbeel, Joshua Achiam, Harrison Edwards, 2018, ArXiv.

Reward learning from human preferences and demonstrations in Atari

Shane Legg, Jan Leike, Borja Ibarz, 2018, NeurIPS.

Supervising strong learners by amplifying weak experts pdf

Dario Amodei, Paul Francis Christiano, Buck Shlegeris, 2018, ArXiv.

Learning a Natural Language Interface with Neural Programmer pdf

Martín Abadi, Quoc V. Le, Andrew McCallum, 2016, ICLR.

Reward learning from human preferences and demonstrations in Atari

Dario Amodei, Dandelion Mané, Tobias Pohlen, 2018, NeurIPS.

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin

A. Ng, Dario Amodei, P. LeGresley, 2015, ICML.

Data Sharing without Rewards in Multi-Task Ofﬂine Reinforcement Learning

Dario Amodei, S. Levine, K. Kavukcuoglu, 2022 .

FetchSGD: Communication-Efﬁcient Federated Learning with Sketching

Jeff Wu, Alec Radford, Dario Amodei, 2022 .

Learning a Natural Language Interface with Neural Programmer

Quoc V. Le, Quoc V. Le, Dario Amodei, 2016, ICLR.

Low error discrimination using a correlated population code.

Michael J. Berry, Dario Amodei, J. Macke, 2012, Journal of neurophysiology.

The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations

Teven Le Scao, Patrick von Platen, Daniel M. Ziegler, 2023, EMNLP.

Predictability and Surprise in Large Generative Models

Tom B. Brown, Dario Amodei, T. Henighan, 2022, FAccT.

Language Models are Few-Shot Learners

Tom B. Brown, Daniel M. Ziegler, Jeff Wu, 2020, NeurIPS.