Yi-Kai Zhang

According to our database, Yi-Kai Zhang authored at least 15 papers between 2022 and 2026.

Collaborative distances:

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

2026

V_0.5: Generalist Value Model as a Prior for Sparse RL Rollouts.

Yi-Kai Zhang, Yueqing Sun, Hongyan Hao, Qi Gu, Xunliang Cai, De-Chuan Zhan, Han-Jia Ye

CoRR, March, 2026

ScaleEnv: Scaling Environment Synthesis from Scratch for Generalist Interactive Tool-Use Agent Training.

Dunwei Tu, Hongyan Hao, Hansi Yang, Yihao Chen, Yi-Kai Zhang, Zhikang Xia, Yu Yang, Yueqing Sun, Xingchen Liu, Furao Shen, Qi Gu, Hui Su, Xunliang Cai

CoRR, February, 2026

V₀: A Generalist Value Model for Any Policy at State Zero.

Yi-Kai Zhang, Zhiyuan Yao, Hongyan Hao, Yueqing Sun, Qi Gu, Hui Su, Xunliang Cai, De-Chuan Zhan, Han-Jia Ye

CoRR, February, 2026

CoBA-RL: Capability-Oriented Budget Allocation for Reinforcement Learning in LLMs.

Zhiyuan Yao, Yi-Kai Zhang, Yuxin Chen, Yueqing Sun, Zishan Xu, Yu Yang, Tianhao Hu, Qi Gu, Hui Su, Xunliang Cai

CoRR, February, 2026

2025

Model Assembly Learning with Heterogeneous Layer Weight Merging.

Yi-Kai Zhang, Jin Wang, Xu-Xiang Zhong, De-Chuan Zhan, Han-Jia Ye

CoRR, March, 2025

Capability Instruction Tuning: A New Paradigm for Dynamic LLM Routing.

Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye

CoRR, February, 2025

ZooProbe: A Data Engine for Evaluating, Exploring, and Evolving Large-scale Training Data for Multimodal LLMs.

Yi-Kai Zhang, Shiyin Lu, Qing-Guo Chen, De-Chuan Zhan, Han-Jia Ye

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Capability Instruction Tuning.

Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

OmniEvalKit: A Modular, Lightweight Toolbox for Evaluating Large Language Model and its Omni-Extensions.

Yi-Kai Zhang, Xu-Xiang Zhong, Shiyin Lu, Qing-Guo Chen, De-Chuan Zhan, Han-Jia Ye

CoRR, 2024

Wings: Learning Multimodal LLMs without Text-only Forgetting.

Yi-Kai Zhang, Shiyin Lu, Yang Li, Yanqing Ma, Qingguo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, De-Chuan Zhan, Han-Jia Ye

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

2023

ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse.

Yi-Kai Zhang, Lu Ren, Chao Yi, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye

CoRR, 2023

Model Spider: Learning to Rank Pre-Trained Models Efficiently.

Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration.

Qi-Wei Wang, Da-Wei Zhou, Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Debiased Representations via Conditional Attribute Interpolation.

Yi-Kai Zhang, Qi-Wei Wang, De-Chuan Zhan, Han-Jia Ye

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation.

Yi-Kai Zhang, Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022