Search Results for author: Linhao Ye

Found 2 papers, 1 papers with code

Boosting Conversational Question Answering with Fine-Grained Retrieval-Augmentation and Self-Check

no code implementations27 Mar 2024 Linhao Ye, Zhikai Lei, Jianghao Yin, Qin Chen, Jie zhou, Liang He

Retrieval-Augmented Generation (RAG) aims to generate more reliable and accurate responses, by augmenting large language models (LLMs) with the external vast and dynamic knowledge.

Conversational Question Answering Retrieval

EduChat: A Large-Scale Language Model-based Chatbot System for Intelligent Education

1 code implementation5 Aug 2023 Yuhao Dan, Zhikai Lei, Yiyang Gu, Yong Li, Jianghao Yin, Jiaju Lin, Linhao Ye, Zhiyan Tie, Yougen Zhou, Yilei Wang, Aimin Zhou, Ze Zhou, Qin Chen, Jie zhou, Liang He, Xipeng Qiu

Currently, EduChat is available online as an open-source project, with its code, data, and model parameters available on platforms (e. g., GitHub https://github. com/icalk-nlp/EduChat, Hugging Face https://huggingface. co/ecnu-icalk ).

Chatbot Language Modelling +1

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