Papers by Yanhe Fu

2 papers
TISE: A Tripartite In-context Selection Method for Event Argument Extraction (2024.naacl-long)

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Challenge: Recent studies show that LLMs can finish inference by providing several examples.
Approach: They propose a method which integrates three requirements when selecting an in-context example and integrates them into a set of determinantal point processes to enhance the reasoning capabilities of LLMs.
Outcome: The proposed method can achieve superior performance with fewer examples and outperform some supervised methods.
Slot Dependency Modeling for Zero-Shot Cross-Domain Dialogue State Tracking (2022.coling-1)

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Challenge: Existing zero-shot learning methods ignore slot dependencies in a multidomain dialogue . experimental results show the effectiveness of our proposed method over existing state-of-art generation methods .
Approach: They propose to use slot prompts combination, slot values demonstration and slot constraint object to model slot-slot dependency, slot-value dependency and slot-context dependency respectively.
Outcome: The proposed method outperforms state-of-the-art methods under zero-shot/few-shot settings.

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