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Jindi Yu

2 accepted papers

2024

Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion

EMNLP 2024system demonstrations

As we all know, hallucinations prevail in Large Language Models (LLMs), where the generated content is coherent but factually incorrect, which inflicts a heavy blow on the widespread application of LLMs. Previous studies have shown that LLMs could confidently state non-existent facts rather than ans…

2023

ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination

EMNLP 2023long findings

In the field of Large Language Models (LLMs), researchers are increasingly exploring their effectiveness across a wide range of tasks. However, a critical area that requires further investigation is the interpretability of these models, particularly the ability to generate rational explanations for…

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