Aaron T Parisi

Researcher, Google Deepmind, Google

Joined

August 2022

Names

Aaron T Parisi (Preferred)

Aaron Parisi

Aaron T. Parisi

Emails

****@gmail.com (Confirmed)

****@google.com (Confirmed)

Personal Links

Google Scholar

DBLP

Semantic Scholar

Career & Education History

Researcher

Google Deepmind, Google (google.com)

2020 – Present

MS student

California Polytechnic State University, San Luis Obispo (calpoly.edu)

2018 – 2019

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

To Mask or to Mirror: Human-AI Alignment in Collective Reasoning
Crystal Qian, Aaron Parisi, Clémentine Bouleau, Vivian Tsai, Maël Lebreton, Lucas Dixon
- CoRR 2025
- Readers: Everyone
Exploring and Benchmarking Planning Capabilities of Large Language Models
Bernd Bohnet, Azade Nova, Aaron T Parisi, Katayoon Goshvadi, Kevin Swersky, Hanjun Dai, Dale Schuurmans, Noah Fiedel, Hanie Sedghi
- Submitted to ICLR 2025
- Readers: Everyone
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
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
Training Language Models on the Knowledge Graph: Insights on Hallucinations and Their Detectability
Jiri Hron, Laura Culp, Gamaleldin F. Elsayed, Rosanne Liu, Ben Adlam, Maxwell L. Bileschi, Bernd Bohnet, JD Co-Reyes, Noah Fiedel, C. Daniel Freeman, Izzeddin Gur, Kathleen Kenealy, Jaehoon Lee, Peter J. Liu, Gaurav Mishra, Igor Mordatch, Azade Nova, Roman Novak, Aaron Parisi, Jeffrey Pennington et al. (11 additional authors not shown)
- CoRR 2024
- Readers: Everyone
Exploring and Benchmarking the Planning Capabilities of Large Language Models
Bernd Bohnet, Azade Nova, Aaron T. Parisi, Kevin Swersky, Katayoon Goshvadi, Hanjun Dai, Dale Schuurmans, Noah Fiedel, Hanie Sedghi
- CoRR 2024
- Readers: Everyone
Long-Span Question-Answering: Automatic Question Generation and QA-System Ranking via Side-by-Side Evaluation
Bernd Bohnet, Kevin Swersky, Rosanne Liu, Pranjal Awasthi, Azade Nova, Javier Snaider, Hanie Sedghi, Aaron T. Parisi, Michael Collins, Angeliki Lazaridou, Orhan Firat, Noah Fiedel
- CoRR 2024
- 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. (21 additional authors not shown)
- Trans. Mach. Learn. Res. 2024
- Readers: Everyone
Training Chain-of-Thought via Latent-Variable Inference
Du Phan, Matthew Douglas Hoffman, david dohan, Sholto Douglas, Tuan Anh Le, Aaron T Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous
- NeurIPS 2023 poster
- Readers: Everyone
Training Chain-of-Thought via Latent-Variable Inference
Du Phan, Matthew D. Hoffman, David Dohan, Sholto Douglas, Tuan Anh Le, Aaron Parisi, Pavel Sountsov, Charles Sutton, Sharad Vikram, Rif A. Saurous
- CoRR 2023
- Readers: Everyone

View all 15 publications

Co-Authors

View all 81 co-authors