Papers with Exponential MovingAverage

1 papers
Reviving Iterative Refinement in Diffusion-based NER with an Initializer-Restorer Approach (2026.acl-short)

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Challenge: Named Entity Recognition (NER) is a fundamental task in Information Extraction.
Approach: They propose a generative paradigm for Named Entity Recognition by modeling NER as a boundary diffusion process.
Outcome: The proposed model performs better than baseline on ACE2004, GENIA, and CleanCoNLL.

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