2025

Effect of the digital transformation of firms in a developing country on their reverse innovation: the complementary roles of multi-contexts.

[DOI]

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Int. J. Technol. Manag., 2025

2024

Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

[DOI]

CoRR, 2024

Many-shot Jailbreaking.

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

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Aarohi Srivastava

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Abu Awal Md Shoeb

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Agnieszka Kluska

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Aitor Lewkowycz

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Alexander W. Kocurek

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Anantharaman S. Iyer

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Andrea Santilli

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Antonio Norelli

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Arun Kirubarajan

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B. Ryan Roberts

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Bartlomiej Bojanowski

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Bill Yuchen Lin

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Catherine Stinson

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Charles Rathkopf

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Chris Callison-Burch

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Christian Voigt

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Christopher D. Manning

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Christopher Potts

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Clara E. Rivera

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Courtney Ashcraft

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Cristina Garbacea

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Daniel Khashabi

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Daniel Moseguí González

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Danielle Perszyk

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Danny Hernandez

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Daphne Ippolito

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Ekaterina Shutova

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Ekin Dogus Cubuk

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Eleanor Hagerman

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Elizabeth Barnes

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Elizabeth Donoway

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Emanuele Rodolà

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Ethan J. Jerzak

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Eunice Engefu Manyasi

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Evgenii Zheltonozhskii

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Fernando Martínez-Plumed

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François Chollet

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Genta Indra Winata

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Germán Kruszewski

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Giambattista Parascandolo

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Giorgio Mariani

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Gonzalo Jaimovitch-López

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Hana Galijasevic

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Hannaneh Hajishirzi

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Hinrich Schütze

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Jack Geissinger

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Jackson Kernion

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Jaime Fernández Fisac

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Janelle Wingfield

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Jascha Sohl-Dickstein

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Jekaterina Novikova

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Jonathan Batchelder

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Jonathan Berant

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José Hernández-Orallo

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Joseph Boudeman

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Joshua B. Tenenbaum

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Karthik Gopalakrishnan

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Katerina Ignatyeva

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Kaustubh D. Dhole

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Kory W. Mathewson

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Kristen Chiafullo

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Ksenia Shkaruta

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Kyle Richardson

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Lidia Contreras Ochando

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Luis Oliveros Colón

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Lütfi Kerem Senel

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Maartje ter Hoeve

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María José Ramírez-Quintana

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Mario Giulianelli

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Martin Potthast

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Matthew L. Leavitt

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Mátyás Schubert

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Medina Baitemirova

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Melvin McElrath

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Michael I. Ivanitskiy

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Michael Starritt

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Michal Swedrowski

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Michele Bevilacqua

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Michihiro Yasunaga

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Moin Aminnaseri

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Mukund Varma T.

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Neta Gur-Ari Krakover

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Nicholas Cameron

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Nicholas Roberts

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Nicole Martinez

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Niklas Muennighoff

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Nitish Shirish Keskar

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Omar Elbaghdadi

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Pablo Antonio Moreno Casares

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Pegah Alipoormolabashi

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Peter Eckersley

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Piotr Milkowski

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Pouya Pezeshkpour

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Rachel Etta Rudolph

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Ruslan Salakhutdinov

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Samuel Gruetter

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Samuel R. Bowman

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Sarik Ghazarian

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Sebastian Bischoff

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Sebastian Gehrmann

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Sebastian Schuster

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Sepideh Sadeghi

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Shashank Srivastava

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Shixiang Shane Gu

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Shyamolima (Shammie) Debnath

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Simon Thormeyer

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Sneha Priscilla Makini

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Sriharsha Hatwar

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Stanislas Dehaene

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Stella Biderman

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Steven T. Piantadosi

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Stuart M. Shieber

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Summer Misherghi

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Tatsu Hashimoto

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Théo Desbordes

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Theodore Rothschild

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Tobias Gerstenberg

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Trishala Neeraj

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Victoria Nyamai

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Vinay V. Ramasesh

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Vinay Uday Prabhu

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Vishakh Padmakumar

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William Saunders

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Yadollah Yaghoobzadeh

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Trans. Mach. Learn. Res., 2023

Specific versus General Principles for Constitutional AI.

[DOI]

CoRR, 2023

The Capacity for Moral Self-Correction in Large Language Models.

[DOI]

CoRR, 2023

Motion Analysis and Reconstruction of Human Joint Regions for Sparse RGBD Images.

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Proceedings of the IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, 2023

Pulmonary Segments Segmentation with Hierarchical Weak Labels.

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Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Discovering Language Model Behaviors with Model-Written Evaluations.

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Kamile Lukosiute

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Catherine Olsson

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Saurav Kadavath

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Cameron McKinnon

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Christopher Olah

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Eli Tran-Johnson

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Jackson Kernion

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Landon Goldberg

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Michael Sellitto

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Neerav Kingsland

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Nicholas Joseph

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Timothy Telleen-Lawton

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Zac Hatfield-Dodds

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Samuel R. Bowman

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Roger B. Grosse

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Danny Hernandez

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Nicholas Schiefer

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2022

Discovering Language Model Behaviors with Model-Written Evaluations.

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Kamile Lukosiute

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Catherine Olsson

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Saurav Kadavath

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Cameron McKinnon

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Christopher Olah

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Eli Tran-Johnson

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Jackson Kernion

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Landon Goldberg

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Michael Sellitto

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Neerav Kingsland

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Nicholas Joseph

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Timothy Telleen-Lawton

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Zac Hatfield-Dodds

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Samuel R. Bowman

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Roger B. Grosse

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Danny Hernandez

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Nicholas Schiefer

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CoRR, 2022

Constitutional AI: Harmlessness from AI Feedback.

[DOI]

CoRR, 2022

Measuring Progress on Scalable Oversight for Large Language Models.

[DOI]

CoRR, 2022

In-context Learning and Induction Heads.

[DOI]

CoRR, 2022

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

[DOI]

CoRR, 2022

Language Models (Mostly) Know What They Know.

[DOI]

CoRR, 2022

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

[DOI]

CoRR, 2022

Predictability and Surprise in Large Generative Models.

[DOI]

CoRR, 2022

Predictability and Surprise in Large Generative Models.

[DOI]

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

A General Language Assistant as a Laboratory for Alignment.

[DOI]

CoRR, 2021