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Shengxue Li

1 accepted papers

2026

Adversarial Latent Embedding Repair for LLM Continual Learning

ICML 2026poster

Research on continual learning for LLMs seeks to acquire new skills without catastrophic forgetting of established prior knowledge. However, domain-specific fine-tuning still triggers severe, long-tailed forgetting issues even under narrow updates, particularly when the pre-training data is inaccess…

Cited by 0SourceScholar