1 code implementation • 23 Apr 2024 • Xiaoxi Li, Jiajie Jin, Yujia Zhou, Yuyao Zhang, Peitian Zhang, Yutao Zhu, Zhicheng Dou
Reliable response generation, on the other hand, employs language models to directly generate the information users seek, breaking the limitations of traditional IR in terms of document granularity and relevance matching, offering more flexibility, efficiency, and creativity, thus better meeting practical needs.
no code implementations • 19 Feb 2024 • Jiajie Jin, Yutao Zhu, Yujia Zhou, Zhicheng Dou
Retrieval-augmented large language models (LLMs) have demonstrated efficacy in knowledge-intensive tasks such as open-domain QA, addressing inherent challenges in knowledge update and factual inadequacy.
1 code implementation • 18 Feb 2024 • Yujia Zhou, Zheng Liu, Jiajie Jin, Jian-Yun Nie, Zhicheng Dou
Drawing from cognitive psychology, metacognition allows an entity to self-reflect and critically evaluate its cognitive processes.
no code implementations • 16 Feb 2024 • Yujia Zhou, Qiannan Zhu, Jiajie Jin, Zhicheng Dou
To counter this limitation, personalized search has been developed to re-rank results based on user preferences derived from query logs.
1 code implementation • 8 Jun 2023 • Jiongnan Liu, Jiajie Jin, Zihan Wang, Jiehan Cheng, Zhicheng Dou, Ji-Rong Wen
To support research in this area and facilitate the development of retrieval-augmented LLM systems, we develop RETA-LLM, a {RET}reival-{A}ugmented LLM toolkit.