Leo Gao

According to our database, Leo Gao authored at least 13 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision.

Collin Burns, Pavel Izmailov, Jan Hendrik Kirchner, Bowen Baker, Leo Gao, Leopold Aschenbrenner, Yining Chen, Adrien Ecoffet, Manas Joglekar, Jan Leike, Ilya Sutskever, Jeff Wu

CoRR, 2023

Scaling Laws for Reward Model Overoptimization.

Leo Gao, John Schulman, Jacob Hilton

Proceedings of the International Conference on Machine Learning, 2023

2022

EleutherAI: Going Beyond "Open Science" to "Science in the Open".

Jason Phang, Herbie Bradley, Leo Gao, Louis Castricato, Stella Biderman

CoRR, 2022

GPT-NeoX-20B: An Open-Source Autoregressive Language Model.

Sid Black, Stella Biderman, Eric Hallahan, Quentin Anthony, Leo Gao, Laurence Golding, Horace He, Connor Leahy, Kyle McDonell, Jason Phang, Michael Pieler, USVSN Sai Prashanth, Shivanshu Purohit, Laria Reynolds, Jonathan Tow, Ben Wang, Samuel Weinbach

CoRR, 2022

Datasheet for the Pile.

Stella Biderman, Kieran Bicheno, Leo Gao

CoRR, 2022

Multitask Prompted Training Enables Zero-Shot Task Generalization.

Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Teven Le Scao, Stella Biderman, Leo Gao, Thomas Wolf, Alexander M. Rush

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Design and Analysis of a Collaborative Story Generation Game for Social Robots.

Eric Nichols, Leo Gao, Yurii Vasylkiv, Randy Gomez

Frontiers Comput. Sci., 2021

Multitask Prompted Training Enables Zero-Shot Task Generalization.

Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M. Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal V. Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Févry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush

CoRR, 2021

Cut the CARP: Fishing for zero-shot story evaluation.

Shahbuland Matiana, J. R. Smith, Ryan Teehan, Louis Castricato, Stella Biderman, Leo Gao, Spencer Frazier

CoRR, 2021

An Empirical Exploration in Quality Filtering of Text Data.

Leo Gao

CoRR, 2021

The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, Shawn Presser, Connor Leahy

CoRR, 2021

Collaborative Storytelling with Social Robots.

Eric Nichols, Leo Gao, Yurii Vasylkiv, Randy Gomez

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Collaborative Storytelling with Large-scale Neural Language Models.

Eric Nichols, Leo Gao, Randy Gomez

Proceedings of the MIG '20: Motion, 2020