Papers with vital task-specific experts

1 papers
RTE-GMoE: A Model-agnostic Approach for Relation Triplet Extraction via Graph-based Mixture-of-Expert Mutual Learning (2025.emnlp-main)

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Challenge: Relation Triplet Extraction (RTE) is a fundamental while challenge task in knowledge acquisition.
Approach: They propose a mutual learning framework for Relation Triplet Extraction to address this limitation.
Outcome: The proposed framework improves on four state-of-the-art backbones and benchmarks.

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