Papers by Nghia T. Le

1 papers
Few-Shot Anaphora Resolution in Scientific Protocols via Mixtures of In-Context Experts (2022.findings-emnlp)

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Challenge: In-context learning has emerged as a promising approach to resolve anaphora, but there are challenges in applying it to scientific protocols.
Approach: They propose a method which combines predictions of hundreds of in-context experts and combines them to yield a 30% increase in F1 over a competitive prompt retrieval baseline.
Outcome: The proposed method yields 30% increase in F1 score over a competitive prompt retrieval baseline.

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