activity
20232025
most citedTowards Lifelong Learning of Large Language Models: A Survey

1 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025

Spurious Forgetting in Continual Learning of Language Models

Junhao Zheng, Xidi Cai, Shengjie Qiu +1

Recent advancements in large language models (LLMs) reveal a perplexing phenomenon in continual learning: despite extensive training, models experience significant performance decl…

cs.LG2024★ 1 cited

Towards Lifelong Learning of Large Language Models: A Survey

Junhao Zheng, Shengjie Qiu, Chengming Shi +1

As the applications of large language models (LLMs) expand across diverse fields, the ability of these models to adapt to ongoing changes in data, tasks, and user preferences becom…

cs.CL2024

Incremental Sequence Labeling: A Tale of Two Shifts

Shengjie Qiu, Junhao Zheng, Zhen Liu +2

The incremental sequence labeling task involves continuously learning new classes over time while retaining knowledge of the previous ones. Our investigation identifies two signifi…

cs.LG2024★ 1 cited

Can LLMs Learn New Concepts Incrementally without Forgetting?

Junhao Zheng, Shengjie Qiu, Qianli Ma

Large Language Models (LLMs) have achieved remarkable success across various tasks, yet their ability to learn incrementally without forgetting remains underexplored. Incremental l…

cs.CL2023★ 1 cited

Learn or Recall? Revisiting Incremental Learning with Pre-trained Language Models

Junhao Zheng, Shengjie Qiu, Qianli Ma

Incremental Learning (IL) has been a long-standing problem in both vision and Natural Language Processing (NLP) communities. In recent years, as Pre-trained Language Models (PLMs)…