However, it is nontrivial to directly apply LLMs for EA since the annotation space in real-world KGs is large. LLMs could also generate noisy labels that may mislead the alignment.

Polyphone disambiguation aims to capture accurate pronunciation knowledge fromnaturaltextsequences forreliable Text-to-speech (TTS)systems.

Proposition 5 (equivalence between transferability and transfer measures).

Based oninvariant features, a high-performing classifier on source domains could hopefully behave equally well on a target domain. In other words, we hope the invariant features to be transferable. However, in practice, there are no perfectly transferable features, andsomealgorithmsseemtolearn"moretransferable"featuresthanothers.

However, it remains a critical challenge to enable unpaired I2I translation with pre-trained DMs while maintaining satisfying consistency.

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