Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulation

no code implementations • 17 May 2024 • Cheng Niu, Xingguang Wang, Xuxin Cheng, Juntong Song, Tong Zhang

Then a two-stage fine-tuning on LLaMA 2 is performed on the generated data and the real data for the DST prediction.

RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models

1 code implementation • 31 Dec 2023 • Cheng Niu, Yuanhao Wu, Juno Zhu, Siliang Xu, Kashun Shum, Randy Zhong, Juntong Song, Tong Zhang

Retrieval-augmented generation (RAG) has become a main technique for alleviating hallucinations in large language models (LLMs).

Hallucination Retrieval