Peter J Liu

Researcher, Twenty Labs

Joined

October 2017

Names

Peter J Liu

Peter J. Liu

Emails

****@google.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Researcher

Twenty Labs (twentylabs.ai)

2024 – Present

Research Scientist

Google Brain / Google DeepMind (google.com)

2011 – 2024

Advisors, Relations & Conflicts

No relations added

Expertise

AI Agents

2024 – Present

post-training

2022 – Present

pre-training

2020 – Present

Transformer

2017 – Present

language models

2015 – Present

Publications

Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability
Jiri Hron, Laura A Culp, Gamaleldin Fathy Elsayed, Rosanne Liu, Jasper Snoek, Simon Kornblith, Alex Rizkowsky, Isabelle Simpson, Jascha Sohl-Dickstein, Noah Fiedel, Aaron T Parisi, Alexander A Alemi, Azade Nova, Ben Adlam, Bernd Bohnet, Gaurav Mishra, Hanie Sedghi, Izzeddin Gur, Jaehoon Lee, John D Co-Reyes et al. (11 additional authors not shown)
- COLM
- Readers: Everyone
Scaling Exponents Across Parameterizations and Optimizers
Katie E Everett, Lechao Xiao, Mitchell Wortsman, Alexander A Alemi, Roman Novak, Peter J Liu, Izzeddin Gur, Jascha Sohl-Dickstein, Leslie Pack Kaelbling, Jaehoon Lee, Jeffrey Pennington
- ICML 2024 Poster
- Readers: Everyone
Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models
Avi Singh, John D Co-Reyes, Rishabh Agarwal, Ankesh Anand, Piyush Patil, Xavier Garcia, Peter J Liu, James Harrison, Jaehoon Lee, Kelvin Xu, Aaron T Parisi, Abhishek Kumar, Alexander A Alemi, Alex Rizkowsky, Azade Nova, Ben Adlam, Bernd Bohnet, Gamaleldin Fathy Elsayed, Hanie Sedghi, Igor Mordatch et al. (20 additional authors not shown)
- Accepted by TMLR
- Readers: Everyone
Self-Evaluation Improves Selective Generation in Large Language Models
Jie Ren, Yao Zhao, Tu Vu, Peter J Liu, Balaji Lakshminarayanan
- ICBINB 2023
- Readers: Everyone
Improving Large Language Model Fine-tuning for Solving Math Problems
Yixin Liu, Avi Singh, C. Daniel Freeman, John D Co-Reyes, Peter J Liu
- Submitted to ICLR 2024
- Readers: Everyone
Small-scale proxies for large-scale Transformer training instabilities
Mitchell Wortsman, Peter J Liu, Lechao Xiao, Katie E Everett, Alexander A Alemi, Ben Adlam, John D Co-Reyes, Izzeddin Gur, Abhishek Kumar, Roman Novak, Jeffrey Pennington, Jascha Sohl-Dickstein, Kelvin Xu, Jaehoon Lee, Justin Gilmer, Simon Kornblith
- ICLR 2024 oral
- Readers: Everyone
Statistical Rejection Sampling Improves Preference Optimization
Tianqi Liu, Yao Zhao, Rishabh Joshi, Misha Khalman, Mohammad Saleh, Peter J Liu, Jialu Liu
- ICLR 2024 poster
- Readers: Everyone
Improving the Robustness of Summarization Models by Detecting and Removing Input Noise
Kundan Krishna, Yao Zhao, Jie Ren, Balaji Lakshminarayanan, Jiaming Luo, Mohammad Saleh, Peter J Liu
- EMNLP 2023 Findings
- Readers: Everyone
Investigating Efficiently Extending Transformers for Long Input Summarization
Jason Phang, Yao Zhao, Peter J Liu
- EMNLP 2023 Main
- Readers: Everyone
Improving the Robustness of Conditional Language Models by Detecting and Removing Input Noise
Kundan Krishna, Yao Zhao, Jie Ren, Balaji Lakshminarayanan, Jiaming Luo, Mohammad Saleh, Peter J Liu
- Published: 05 Dec 2022, Last Modified: 05 May 2023
- MLSW2022
- Readers: Everyone

View all 18 publications

Co-Authors

View all 72 co-authors