Papers by Tung Mai

1 papers
Hallucination Diversity-Aware Active Learning for Text Summarization (2024.naacl-long)

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Challenge: Existing methods for alleviating hallucinations require costly human annotations . Existing approaches focus on a specific type of hallucinism, which limits their effectiveness .
Approach: They propose a method to detect hallucinations from errors in semantic frame, discourse and content verifiability in LLM summarization using HAllucination Diversity-Aware Sampling.
Outcome: The proposed framework reduces the need for costly human annotations to correct hallucinations in LLM outputs.

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