Jie Ren

Research Scientist, Google

Joined

September 2019

Names

Jie Ren (Preferred)

Emails

****@gmail.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Google Scholar

Career & Education History

Research Scientist

Google (google.com)

2018 – Present

PhD student

University of Southern California (usc.edu)

2013 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Fengzhu Sun

2013 – 2018

Expertise

Out-of-distribution detection

Present

Uncertainty quantification

Present

Text-image models

Present

Large language model

Present

Publications

SemanticDPP: Efficient Uncertainty Quantification in LLMs
Jenny Hamer, Jasper Snoek, Alexander Nicholas D'Amour, Ulrich Rueckert, Dheeraj Rajagopal, Victor Veitch, Jie Ren, Kevin Robinson
- Submitted to ICLR 2026
- Readers: Everyone
SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time Scaling
Jiefeng Chen, Jie Ren, Xinyun Chen, Chengrun Yang, Ruoxi Sun, Jinsung Yoon, Sercan O Arik
- Accepted by TMLR
- Readers: Everyone
RRM: Robust Reward Model Training Mitigates Reward Hacking
Tianqi Liu, Wei Xiong, Jie Ren, Lichang Chen, Junru Wu, Rishabh Joshi, Yang Gao, Jiaming Shen, Zhen Qin, Tianhe Yu, Daniel Sohn, Anastasia Makarova, Jeremiah Zhe Liu, Yuan Liu, Bilal Piot, Abe Ittycheriah, Aviral Kumar, Mohammad Saleh
- ICLR 2025 Poster
- Readers: Everyone
Comparing Human and LLM Ratings of Music-Recommendation Quality with User Context
Sherol Chen, Yuri Vasilevski, Andrew Kyle Lampinen, Amnah Ahmad, Ndaba Ndebele, Sally Goldman, Michael Curtis Mozer, Jie Ren
- NeurIPS 2024 Workshop on Behavioral ML
- Readers: Everyone
Universal Self-Consistency for Large Language Models
Xinyun Chen, Renat Aksitov, Uri Alon, Jie Ren, Kefan Xiao, Pengcheng Yin, Sushant Prakash, Charles Sutton, Xuezhi Wang, Denny Zhou
- ICML 2024 Workshop ICL Poster
- 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
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study
Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Zhe Liu
- EMNLP 2023 Findings
- 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
Morse Neural Networks for Uncertainty Quantification
Benoit Dherin, Huiyi Hu, Jie Ren, Michael W Dusenberry, Balaji Lakshminarayanan
- 1st SPIGM @ ICML Poster
- Readers: Everyone
Predicting the Number of Bases to Attain Sufficient Coverage in High-Throughput Sequencing Experiments
Chao Deng, Timothy P Daley, Jie Ren, Peter Calabrese, Andrew D Smith
- 12 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone

View all 18 publications

Co-Authors

View all 92 co-authors