1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.AI2026
MedCL-Bench: Benchmarking stability-efficiency trade-offs and scaling in biomedical continual learning
Min Zeng, Shuang Zhou, Zaifu Zhan +1
Medical language models must be updated as evidence and terminology evolve, yet sequential updating can trigger catastrophic forgetting. Although biomedical NLP has many static ben…
cs.LG2026
Sparse Adapter Fusion for Continual Learning in NLP
Min Zeng, Xi Chen, Haiqin Yang +1
Continual learning in natural language processing plays a crucial role in adapting to evolving data and preventing catastrophic forgetting. Despite significant progress, existing m…
cs.CL2023★ 1 cited
Continual Learning with Dirichlet Generative-based Rehearsal
Min Zeng, Wei Xue, Qifeng Liu +1
Recent advancements in data-driven task-oriented dialogue systems (ToDs) struggle with incremental learning due to computational constraints and time-consuming issues. Continual Le…