Vincent-Pierre Berges

Researcher, FAIR, Meta

Joined

September 2021

Names

Vincent-Pierre Berges (Preferred)

Emails

****@gmail.com (Confirmed)

****@meta.com (Confirmed)

Personal Links

Google Scholar

DBLP

Semantic Scholar

Career & Education History

Researcher

FAIR, Meta (meta.com)

2022 – Present

Researcher

Unity Technologies (unity3d.com)

2017 – 2022

MS student

Stanford University (stanford.edu)

2014 – 2017

Undergrad student

École Polytechnique (polytechnique.edu)

2011 – 2014

Advisors, Relations & Conflicts

Coauthor

Marco Pleines

2018 – Present

Coauthor

Julian Togelius

2019 – 2019

Expertise

Reinforcement Learning

2014 – Present

Publications

HybridCoT: Interleaving Latent and Text Chain-of-Thought for Efficient Reasoning
Shannon Zejiang Shen, Rulin Shao, Chenyu Wang, Songlin Yang, Vincent-Pierre Berges, Gargi Ghosh, Pang Wei Koh, Luke Zettlemoyer, Yoon Kim, Jason E Weston, David Sontag, Wen-tau Yih
- NeurIPS 2025 ER Workshop Spotlight
- Readers: Everyone
Continual Learning via Sparse Memory Finetuning
Jessy Lin, Luke Zettlemoyer, Gargi Ghosh, Wen-tau Yih, Aram H. Markosyan, Vincent-Pierre Berges, Barlas Oguz
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Learning Facts at Scale with Active Reading
Jessy Lin, Vincent-Pierre Berges, Xilun Chen, Wen-tau Yih, Gargi Ghosh, Barlas Oguz
- ICLR 2026 Poster
- Readers: Everyone
HybridCoT: Interleaving Latent and Text Chain-of-Thought for Efficient Reasoning
Shannon Zejiang Shen, Rulin Shao, Chenyu Wang, Songlin Yang, Vincent-Pierre Berges, Gargi Ghosh, Pang Wei Koh, Luke Zettlemoyer, Yoon Kim, Jason E Weston, David Sontag, Wen-tau Yih
- Submitted to ICLR 2026
- Readers: Everyone
Learning to Reason for Factuality
Xilun Chen, Ilia Kulikov, Vincent-Pierre Berges, Barlas Oguz, Rulin Shao, Gargi Ghosh, Jason E Weston, Wen-tau Yih
- Submitted to ICLR 2026
- Readers: Everyone
Memory Layers at Scale
Vincent-Pierre Berges, Barlas Oguz, Daniel HAZIZA, Wen-tau Yih, Luke Zettlemoyer, Gargi Ghosh
- ICML 2025 poster
- Readers: Everyone
LOCATE 3D: Real-World Object Localization via Self-Supervised Learning in 3D
Paul McVay, Sergio Arnaud, Ada Martin, Arjun Majumdar, Krishna Murthy Jatavallabhula, Phillip Thomas, Ruslan Partsey, Daniel Dugas, Abha Gejji, Alexander Sax, Vincent-Pierre Berges, Mikael Henaff, Ayush Jain, Ang Cao, Ishita Prasad, Mrinal Kalakrishnan, Michael Rabbat, Nicolas Ballas, Mido Assran, Oleksandr Maksymets et al. (2 additional authors not shown)
- ICML 2025 spotlightposter
- Readers: Everyone
From Thousands to Billions: 3D Visual Language Grounding via Render-Supervised Distillation from 2D VLMs
Ang Cao, Sergio Arnaud, Oleksandr Maksymets, Jianing Yang, Ayush Jain, Ada Martin, Vincent-Pierre Berges, Paul McVay, Ruslan Partsey, Aravind Rajeswaran, Franziska Meier, Justin Johnson, Jeong Joon Park, Alexander Sax
- ICML 2025 poster
- Readers: Everyone
OpenEQA: Embodied Question Answering in the Era of Foundation Models
Arjun Majumdar, Anurag Ajay, Xiaohan Zhang, Pranav Putta, Sriram Yenamandra, Mikael Henaff, Sneha Silwal, Paul McVay, Oleksandr Maksymets, Sergio Arnaud, Karmesh Yadav, Qiyang Li, Benjamin Newman, Mohit Sharma, Vincent-Pierre Berges, Shiqi Zhang, Pulkit Agrawal, Yonatan Bisk, Dhruv Batra, Mrinal Kalakrishnan et al. (4 additional authors not shown)
- MoMa WS 2024 Oral
- Readers: Everyone
What Do We Learn from a Large-Scale Study of Pre-Trained Visual Representations in Sim and Real Environments?
Sneha Silwal, Karmesh Yadav, Tingfan Wu, Jay Vakil, Arjun Majumdar, Sergio Arnaud, Claire Chen, Vincent-Pierre Berges, Dhruv Batra, Aravind Rajeswaran, Mrinal Kalakrishnan, Franziska Meier, Oleksandr Maksymets
- MoMa WS 2024 Oral
- Readers: Everyone

View all 15 publications

Co-Authors

View all 83 co-authors