Papers with self-alignment objective

1 papers
Multi-Task Representation Alignment on Language Understanding: A Mutual Information Perspective (2026.acl-long)

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Challenge: Existing approaches to multitask learning fail to address task interference issues . Existing methods focus on task balancing or probabilistic modeling but fail to learn sufficient representations for all target tasks.
Approach: They propose a multi-task representation alignment framework to achieve task-specific alignment and self-alignment on shared representations from a mutual information perspective.
Outcome: The proposed framework outperforms 13 representative MTL methods under label-noisy and data-constrained conditions.

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