Author

Zhong Ji

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Sep 2026

Interleaved Prompt Generation for Continual Instruction Tuning of Multimodal Large Language Model

Multimodal Large Language Models (MLLMs), pre-trained on vast image-text datasets, excel in zero-shot reasoning but face catastrophic forgetting when adapting to sequential tasks in Continual Instruction Tuning (CIT). While lightweight prompt-based methods offer a parameter-efficient strategy for sequential adaptation,...

Hong-Sheng Zhang, Zhong Ji, Di Wang et al. · IEEE Transactions on Image P... · 0 citations

Aug 2026

DR-EFT: Exploring and reloading domain-representative experts for the memory-constrained fine-tuning of MoE large models.

An algorithm framework named DR-EFT (Domain-Representative Experts for Fine-Tuning), which explores and loads the domain-representative experts for subsequent retraining and reincorporation and demonstrates robustness through validations on popular MoE LLMs, including Qwen, DeepSeek, and Ernie.

Zhaomeng Cheng, Zhong Ji, Yan Zhang et al. · Neural Networks · 0 citations