VR PTSD Exposure Therapy Results with Active Duty OIF/OEF Combatants. - Albert A. Rizzo; JoAnn Difede; Barbara O. Rothbaum; Scott Johnston; Robert N. McLay; Greg Reger; Gregory A. Gahm; Thomas D. Parsons; Ken Graap; Jarrell Pair (MMVR, 2009)

Expert Panel: Future Directions of Technological Advances in Prevention, Assessment, and Treatment for Military Deployment Mental Health. - James L. Spira; Scott Johnston; Robert N. McLay; Sinisa Popovic; Carmen Russoniello; Dennis Patrick Wood (Cyberpsychology Behav. Soc. Netw., 2010)

Reality Graded Exposure Therapy with Physiological Monitoring for the Treatment of Combat Related Post Traumatic Stress Disorder: A Pilot Study. - Dennis Patrick Wood; Jennifer Webb-Murphy; Robert N. McLay; Brenda K. Wiederhold; James L. Spira; Scott Johnston; Robert L. Koffman; Mark D. Wiederhold; Jeff Pyne (MMVR, 2011)

Effect of Virtual Reality PTSD Treatment on Mood and Neurocognitive Outcomes. - Robert N. McLay; Vasudha Ram; Jennifer Webb-Murphy; James L. Spira; Dennis Patrick Wood; Mark D. Wiederhold; Brenda K. Wiederhold; Scott Johnston; Dennis Reeves (Cyberpsychology Behav. Soc. Netw., 2014)

Deriving Public Sector Workforce Insights: A Case Study Using Australian Public Sector Employment Profiles. - Shameek Ghosh; Yi Zheng 002; Thorsten Lammers; Ying-Ying Chen; Carolyn Fitzmaurice; Scott Johnston; Jinyan Li 001 (ADMA, 2016)

A Randomized, Head-to-Head Study of Virtual Reality Exposure Therapy for Posttraumatic Stress Disorder. - Robert N. McLay; Alicia Baird; Jennifer Webb-Murphy; William Deal; Lily Tran; Heather Anson; Warren Klam; Scott Johnston (Cyberpsychology Behav. Soc. Netw., 2017)

Video Frame Interpolation via Structure-Motion based Iterative Fusion. - Xi Li 010; Meng Cao; Yingying Tang; Scott Johnston; Zhendong Hong; Huimin Ma 001; Jiulong Shan (CoRR, 2021)

Predictability and Surprise in Large Generative Models. - Deep Ganguli; Danny Hernandez; Liane Lovitt; Amanda Askell; Yuntao Bai; Anna Chen; Tom Conerly; Nova DasSarma; Dawn Drain; Nelson Elhage; Sheer El Showk; Stanislav Fort; et al. (FAccT, 2022)

Predictability and Surprise in Large Generative Models. - Deep Ganguli; Danny Hernandez; Liane Lovitt; Nova DasSarma; Tom Henighan; Andy Jones; Nicholas Joseph; Jackson Kernion; Benjamin Mann; Amanda Askell; Yuntao Bai; Anna Chen; et al. (CoRR, 2022)

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback. - Yuntao Bai; Andy Jones; Kamal Ndousse; Amanda Askell; Anna Chen; Nova DasSarma; Dawn Drain; Stanislav Fort; Deep Ganguli; Tom Henighan; Nicholas Joseph; Saurav Kadavath; et al. (CoRR, 2022)

Scaling Laws and Interpretability of Learning from Repeated Data. - Danny Hernandez; Tom B. Brown; Tom Conerly; Nova DasSarma; Dawn Drain; Sheer El Showk; Nelson Elhage; Zac Hatfield-Dodds; Tom Henighan; Tristan Hume; Scott Johnston; Benjamin Mann; et al. (CoRR, 2022)

Language Models (Mostly) Know What They Know. - Saurav Kadavath; Tom Conerly; Amanda Askell; Tom Henighan; Dawn Drain; Ethan Perez; Nicholas Schiefer; Zac Hatfield-Dodds; Nova DasSarma; Eli Tran-Johnson; Scott Johnston; Sheer El Showk; et al. (CoRR, 2022)

Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned. - Deep Ganguli; Liane Lovitt; Jackson Kernion; Amanda Askell; Yuntao Bai; Saurav Kadavath; Ben Mann; Ethan Perez; Nicholas Schiefer; Kamal Ndousse; Andy Jones; Sam Bowman 001; et al. (CoRR, 2022)

In-context Learning and Induction Heads. - Catherine Olsson; Nelson Elhage; Neel Nanda; Nicholas Joseph; Nova DasSarma; Tom Henighan; Ben Mann; Amanda Askell; Yuntao Bai; Anna Chen; Tom Conerly; Dawn Drain; et al. (CoRR, 2022)

Measuring Progress on Scalable Oversight for Large Language Models. - Samuel R. Bowman; Jeeyoon Hyun; Ethan Perez; Edwin Chen; Craig Pettit; Scott Heiner; Kamile Lukosiute; Amanda Askell; Andy Jones; Anna Chen; Anna Goldie; Azalia Mirhoseini; et al. (CoRR, 2022)

Constitutional AI: Harmlessness from AI Feedback. - Yuntao Bai; Saurav Kadavath; Sandipan Kundu; Amanda Askell; Jackson Kernion; Andy Jones; Anna Chen; Anna Goldie; Azalia Mirhoseini; Cameron McKinnon; Carol Chen; Catherine Olsson; et al. (CoRR, 2022)

Discovering Language Model Behaviors with Model-Written Evaluations. - Ethan Perez; Sam Ringer; Kamile Lukosiute; Karina Nguyen; Edwin Chen; Scott Heiner; Craig Pettit; Catherine Olsson; Sandipan Kundu; Saurav Kadavath; Andy Jones; Anna Chen; et al. (CoRR, 2022)

Discovering Language Model Behaviors with Model-Written Evaluations. - Ethan Perez; Sam Ringer; Kamile Lukosiute; Karina Nguyen; Edwin Chen; Scott Heiner; Craig Pettit; Catherine Olsson; Sandipan Kundu; Saurav Kadavath; Andy Jones; Anna Chen; et al. (ACL (Findings), 2023)

The Capacity for Moral Self-Correction in Large Language Models. - Deep Ganguli; Amanda Askell; Nicholas Schiefer; Thomas I. Liao; Kamile Lukosiute; Anna Chen; Anna Goldie; Azalia Mirhoseini; Catherine Olsson; Danny Hernandez; Dawn Drain; Dustin Li; et al. (CoRR, 2023)