2 papers
cs.CL2026
Beyond Static Models: An Evolving Framework for Continual Learning in Large Language Models across Training Stages
Hongyang Chen, Zhongwu Sun, Hongfei Ye +2
Continual learning (CL) has emerged as a pivotal paradigm to enable large language models (LLMs) to dynamically adapt to evolving knowledge and sequential tasks while mitigating ca…
cs.CL2026
Diagnosing Retrieval Bias Under Multiple In-Context Knowledge Updates in Large Language Models
Boyu Qiao, Sean Guo, Xian Yang +4
LLMs are widely used in knowledge-intensive tasks where the same fact may be revised multiple times within context. Unlike prior work focusing on one-shot updates or single conflic…