Fuzzllm: A novel and universal fuzzing framework for proactively discovering jailbreak vulnerabilities in large language models D Yao*, J Zhang*, IG Harris, M Carlsson
ICASSP 2024, 2024
61 2024 MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance R Pi*, T Han*, J Zhang*, Y Xie, R Pan, Q Lian, H Dong, J Zhang, T Zhang
EMNLP 2024, 2024
57 2024 Image Textualization: An Automatic Framework for Creating Accurate and Detailed Image Descriptions R Pi*, J Zhang*, J Zhang, R Pan, Z Chen, T Zhang
NeurIPS 2024, 2024
8 2024 Personalized Visual Instruction Tuning R Pi*, J Zhang*, T Han, J Zhang, R Pan, T Zhang
ICLR 2025, 2024
6 2024 FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation KS Shum*, M Xu*, J Zhang*, Z Chen, S Diao, H Dong, J Zhang, MO Raza
EMNLP 2024, 2024
3 2024 CORE: Mitigating Catastrophic Forgetting in Continual Learning through Cognitive Replay J Zhang, Y Fu, Z Peng, D Yao, K He
Cogsci 2024 (Oral), 2024
2 2024 VLM -Bench: A Closer Look at How Well VLMs Implicitly Link Explicit Matching Visual Cues J Zhang, D Yao, R Pi, PP Liang, Y Fung
arXiv preprint arXiv:2502.12084, 2025
2025 Bridge-Coder: Unlocking LLMs' Potential to Overcome Language Gaps in Low-Resource Code J Zhang*, J Zhang*, Y Li*, R Pi, R Pan, R Liu, Z Zheng, T Zhang
arXiv preprint arXiv:2410.18957, 2024
2024