Papers with hallucination estimator

1 papers
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models (2025.emnlp-main)

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Challenge: Hallucination is a significant barrier to the effective application of Large Language Models (LLMs).
Approach: They propose an Attention-Guided SElf-Reflection approach for hallucination detection in Large Language Models.
Outcome: The proposed method significantly outperforms existing methods in zero-shot hallucination detection on four widely-used LLMs across three different halluciation benchmarks.

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