Papers by Liwen Shi

1 papers
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging (2025.emnlp-main)

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Challenge: Existing models that require task labels or performance trade-offs are susceptible to catastrophic forgetting.
Approach: They propose a representation-aware model merging framework for continual learning without access to historical data.
Outcome: The proposed framework outperforms baselines in knowledge retention and generalization across five NLP tasks and multiple continual learning scenarios.

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