Papers with model plasticity

2 papers
Dynamic Model-Bank Test-Time Adaptation for Automatic Speech Recognition (2025.emnlp-main)

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Challenge: Existing ASR TTA methods struggle with instability under continual and long-term distribution shifts.
Approach: They propose a continuous adaptive model-bank framework that adapts to domain shifts in ASR test-time scenarios.
Outcome: Experiments on diverse, continuously shifting ASR benchmarks show that DMSUTA outperforms existing continual TTA baselines.
Unveiling and Addressing Pseudo Forgetting in Large Language Models (2025.findings-acl)

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Challenge: Existing efforts to mitigate catastrophic forgetting in continual learning have not been studied.
Approach: They propose a rationale-guided replay framework that allows models to leverage their capabilities and provide partial external correct rationales to the original instructions.
Outcome: The proposed framework mitigates pseudo forgetting while maintaining model plasticity.

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