ReTeX predicts additive offsets to undo merging interference and uses an SVD subspace signature task identifier to recover over 95% of expert performance while improving generalization to unseen tasks.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Learning to Recover Task Experts from a Multi-Task Merged Model
ReTeX predicts additive offsets to undo merging interference and uses an SVD subspace signature task identifier to recover over 95% of expert performance while improving generalization to unseen tasks.