Qizhen Zhang

According to our database, Qizhen Zhang authored at least 8 papers between 2020 and 2026.

Collaborative distances:

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

2026

An Empirical Study on Noisy Data and LLM Pretraining Loss Divergence.

Qizhen Zhang, Ankush Garg, Jakob N. Foerster, Niladri S. Chatterji, Kshitiz Malik, Mike Lewis

CoRR, February, 2026

2025

BTS: Harmonizing Specialized Experts into a Generalist LLM.

Qizhen Zhang, Prajjwal Bhargava, Chloe Bi, Chris X. Cai, Jakob Nicolaus Foerster, Jeremy Fu, Punit Singh Koura, Ruan Silva, Sheng Shen, Emily Dinan, Suchin Gururangan, Mike Lewis

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Nexus: Adaptive Upcycling to Efficiently Pretrain Mixture of Experts.

Nikolas Gritsch, Qizhen Zhang, Acyr Locatelli, Sara Hooker, Ahmet Üstün

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts.

Qizhen (Irene) Zhang, Nikolas Gritsch, Dwaraknath Gnaneshwar, Simon Guo, David Cairuz, Bharat Venkitesh, Jakob N. Foerster, Phil Blunsom, Sebastian Ruder, Ahmet Üstün, Acyr Locatelli

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition.

Ziyang Zhang, Qizhen Zhang, Jakob Nicolaus Foerster

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Analysing the Sample Complexity of Opponent Shaping.

Kitty Fung, Qizhen Zhang, Chris Lu, Jia Wan, Timon Willi, Jakob N. Foerster

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2022

Centralized Model and Exploration Policy for Multi-Agent RL.

Qizhen Zhang, Christopher Lu, Animesh Garg, Jakob N. Foerster

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2020

Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract).

Qizhen Zhang, Audrey Durand, Joelle Pineau

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020