Literature Mining for Incorporating Inductive Bias in Biomedical Prediction Tasks (Student Abstract). - Qizhen Zhang 002; Audrey Durand; Joelle Pineau (AAAI, 2020)

Centralized Model and Exploration Policy for Multi-Agent RL. - Qizhen Zhang 002; Christopher Lu 001; Animesh Garg; Jakob N. Foerster (AAMAS, 2022)

Analysing the Sample Complexity of Opponent Shaping. - Kitty Fung; Qizhen Zhang 002; Chris Lu 001; Jia Wan; Timon Willi; Jakob N. Foerster (AAMAS, 2024)

PARDEN, Can You Repeat That? Defending against Jailbreaks via Repetition. - Ziyang Zhang; Qizhen Zhang 002; Jakob Nicolaus Foerster (ICML, 2024)

BAM! Just Like That: Simple and Efficient Parameter Upcycling for Mixture of Experts. - Qizhen (Irene) Zhang; Nikolas Gritsch; Dwaraknath Gnaneshwar; Simon Guo 003; David Cairuz; Bharat Venkitesh; Jakob N. Foerster; Phil Blunsom; Sebastian Ruder; Ahmet Üstün; Acyr Locatelli (NeurIPS, 2024)

BTS: Harmonizing Specialized Experts into a Generalist LLM. - Qizhen Zhang 002; Prajjwal Bhargava; Chloe Bi; Chris X. Cai; Jakob N. Foerster; Jeremy Fu; Punit Singh Koura; Ruan Silva; Sheng Shen 016; Emily Dinan; Suchin Gururangan; Mike Lewis (CoRR, 2025)