Papers with over-reliance problem

1 papers
Task-guided Disentangled Tuning for Pretrained Language Models (2022.findings-acl)

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Challenge: Pretrained language models are fine-tuned on task-specific datasets, but fail to capture task- specific patterns.
Approach: They propose a method which disentangles task-relevant signals from entangled representations.
Outcome: The proposed method improves generalization of representations by disentangling task-relevant signals from the entangled representations.

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