Ivan Zhang

According to our database, Ivan Zhang authored at least 13 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Tiny Aya: Bridging Scale and Multilingual Depth.

Alejandro Salamanca, Diana Abagyan, Daniel D'souza, Ammar Khairi, David Mora, Saurabh Dash, Viraat Aryabumi, Sara Rajaee, Mehrnaz Mofakhami, Ananya Sahu, Thomas Euyang, Brittawnya Prince, Madeline Smith, Hangyu Lin, Acyr Locatelli, Sara Hooker, Tom Kocmi, Aidan N. Gomez, Ivan Zhang, Phil Blunsom, Nick Frosst, Joelle Pineau, Beyza Ermis, Ahmet Üstün, Julia Kreutzer, Marzieh Fadaee

CoRR, March, 2026

2025

MimicDreamer: Aligning Human and Robot Demonstrations for Scalable VLA Training.

Haoyun Li, Ivan Zhang, Runqi Ouyang, Xiaofeng Wang, Zheng Zhu, Zhiqin Yang, Zhentao Zhang, Boyuan Wang, Chaojun Ni, Wenkang Qin, Xinze Chen, Yun Ye, Guan Huang, Zhenbo Song, Xingang Wang

CoRR, September, 2025

Governing Automated Strategic Intelligence.

Nicholas Kruus, Madhavendra Thakur, Adam Khoja, Leonhard Nagel, Maximilian Nicholson, Abeer Sharma, Jason Hausenloy, Alberto KoTafoya, Aliya Mukhanova, Alli Katila-Miikkulainen, Harish Chandran, Ivan Zhang, Jessie Chen, Joel Raj, Jord Nguyen, Lai Hsien Hao, Neja Jayasundara, Soham Sen, Sophie Zhang, Ashley Dora Kokui Tamaklo, Bhavya Thakur, Henry Close, Janghee Lee, Nina Sefton, Raghavendra Thakur, Shiv Munagala, Yeeun Kim

CoRR, September, 2025

A Real-Time, Self-Tuning Moderator Framework for Adversarial Prompt Detection.

Ivan Zhang

CoRR, August, 2025

Language Models can perform Single-Utterance Self-Correction of Perturbed Reasoning.

Sam Silver, Jimin Sun, Ivan Zhang, Sara Hooker, Eddie Kim

CoRR, June, 2025

Aya Vision: Advancing the Frontier of Multilingual Multimodality.

Saurabh Dash, Yiyang Nan, John Dang, Arash Ahmadian, Shivalika Singh, Madeline Smith, Bharat Venkitesh, Vlad Shmyhlo, Viraat Aryabumi, Walter Beller-Morales, Jeremy Pekmez, Jason Ozuzu, Pierre Richemond, Acyr Locatelli, Nick Frosst, Phil Blunsom, Aidan N. Gomez, Ivan Zhang, Marzieh Fadaee, Manoj Govindassamy, Sudip Roy, Matthias Gallé, Beyza Ermis, Ahmet Üstün, Sara Hooker

CoRR, May, 2025

Command-A-Translate: Raising the Bar of Machine Translation with Difficulty Filtering.

Tom Kocmi, Arkady Arkhangorodsky, Alexandre Berard, Phil Blunsom, Samuel Cahyawijaya, Théo Dehaze, Marzieh Fadaee, Nicholas Frosst, Matthias Gallé, Aidan N. Gomez, Nithya Govindarajan, Wei-Yin Ko, Julia Kreutzer, Kelly Marchisio, Ahmet Üstün, Sebastian Vincent, Ivan Zhang

Proceedings of the Tenth Conference on Machine Translation, 2025

To Code or Not To Code? Exploring Impact of Code in Pre-training.

Viraat Aryabumi, Yixuan Su, Raymond Ma, Adrien Morisot, Ivan Zhang, Acyr Locatelli, Marzieh Fadaee, Ahmet Üstün, Sara Hooker

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Aya Expanse: Combining Research Breakthroughs for a New Multilingual Frontier.

John Dang, Shivalika Singh, Daniel D'souza, Arash Ahmadian, Alejandro Salamanca, Madeline Smith, Aidan Peppin, Sungjin Hong, Manoj Govindassamy, Terrence Zhao, Sandra Kublik, Meor Amer, Viraat Aryabumi, Jon Ander Campos, Yi Chern Tan, Tom Kocmi, Florian Strub, Nathan Grinsztajn, Yannis Flet-Berliac, Acyr Locatelli, Hangyu Lin, Dwarak Talupuru, Bharat Venkitesh, David Cairuz, Bowen Yang, Tim Chung, Wei-Yin Ko, Sylvie Shang Shi, Amir Shukayev, Sammie Bae, Aleksandra Piktus, Roman Castagné, Felipe Cruz-Salinas, Eddie Kim, Lucas Crawhall-Stein, Adrien Morisot, Sudip Roy, Phil Blunsom, Ivan Zhang, Aidan N. Gomez, Nick Frosst, Marzieh Fadaee, Beyza Ermis, Ahmet Üstün, Sara Hooker

CoRR, 2024

2021

Mitigating harm in language models with conditional-likelihood filtration.

Helen Ngo, Cooper Raterink, João G. M. Araújo, Ivan Zhang, Carol Chen, Adrien Morisot, Nicholas Frosst

CoRR, 2021

2020

Predicting Twitter Engagement With Deep Language Models.

Maksims Volkovs, Zhaoyue Cheng, Mathieu Ravaut, Hojin Yang, Kevin Shen, Jin Peng Zhou, Anson Wong, Saba Zuberi, Ivan Zhang, Nick Frosst, Helen Ngo, Carol Chen, Bharat Venkitesh, Stephen Gou, Aidan N. Gomez

Proceedings of the RecSys Challenge '20: Proceedings of the Recommender Systems Challenge 2020, 2020

2019

Learning Sparse Networks Using Targeted Dropout.

Aidan N. Gomez, Ivan Zhang, Kevin Swersky, Yarin Gal, Geoffrey E. Hinton

CoRR, 2019

2018

Unsupervised Cipher Cracking Using Discrete GANs.

Aidan N. Gomez, Sicong Huang, Ivan Zhang, Bryan M. Li, Muhammad Osama, Lukasz Kaiser

Proceedings of the 6th International Conference on Learning Representations, 2018