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Leo Gao
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2020 – today
- 2023
- [c4]Leo Gao, John Schulman, Jacob Hilton:
Scaling Laws for Reward Model Overoptimization. ICML 2023: 10835-10866 - [i10]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:
Weak-to-Strong Generalization: Eliciting Strong Capabilities With Weak Supervision. CoRR abs/2312.09390 (2023) - 2022
- [c3]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:
Multitask Prompted Training Enables Zero-Shot Task Generalization. ICLR 2022 - [i9]Stella Biderman, Kieran Bicheno, Leo Gao:
Datasheet for the Pile. CoRR abs/2201.07311 (2022) - [i8]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:
GPT-NeoX-20B: An Open-Source Autoregressive Language Model. CoRR abs/2204.06745 (2022) - [i7]Jason Phang, Herbie Bradley, Leo Gao, Louis Castricato, Stella Biderman:
EleutherAI: Going Beyond "Open Science" to "Science in the Open". CoRR abs/2210.06413 (2022) - [i6]Leo Gao, John Schulman, Jacob Hilton:
Scaling Laws for Reward Model Overoptimization. CoRR abs/2210.10760 (2022) - 2021
- [j1]Eric Nichols, Leo Gao, Yurii Vasylkiv, Randy Gomez:
Design and Analysis of a Collaborative Story Generation Game for Social Robots. Frontiers Comput. Sci. 3: 674333 (2021) - [c2]Eric Nichols, Leo Gao, Yurii Vasylkiv, Randy Gomez:
Collaborative Storytelling with Social Robots. IROS 2021: 1903-1910 - [i5]Leo Gao, Stella Biderman, Sid Black, Laurence Golding, Travis Hoppe, Charles Foster, Jason Phang, Horace He, Anish Thite, Noa Nabeshima, Shawn Presser, Connor Leahy:
The Pile: An 800GB Dataset of Diverse Text for Language Modeling. CoRR abs/2101.00027 (2021) - [i4]Leo Gao:
An Empirical Exploration in Quality Filtering of Text Data. CoRR abs/2109.00698 (2021) - [i3]Shahbuland Matiana, J. R. Smith, Ryan Teehan, Louis Castricato, Stella Biderman, Leo Gao, Spencer Frazier:
Cut the CARP: Fishing for zero-shot story evaluation. CoRR abs/2110.03111 (2021) - [i2]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:
Multitask Prompted Training Enables Zero-Shot Task Generalization. CoRR abs/2110.08207 (2021) - 2020
- [c1]Eric Nichols, Leo Gao, Randy Gomez:
Collaborative Storytelling with Large-scale Neural Language Models. MIG 2020: 17:1-17:10 - [i1]Eric Nichols, Leo Gao, Randy Gomez:
Collaborative Storytelling with Large-scale Neural Language Models. CoRR abs/2011.10208 (2020)
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