Hallucinations in large language models (LLMs) refer to the phenomenon of LLMs
producing responses that are coherent yet factually inaccurate. This issue undermines the …

With the development of deep learning and natural language processing techniques, pre-
trained language models have been widely used to solve information retrieval (IR) …

Dynamic retrieval augmented generation (RAG) paradigm actively decides when and what
to retrieve during the text generation process of Large Language Models (LLMs). There are …

The emergence of Large Language Models (LLMs) has revolutionized how users access
information, shifting from traditional search engines to direct question-and-answer …

Statute retrieval aims to find relevant statutory articles for specific queries. This process is the
basis of a wide range of legal applications such as legal advice, automated judicial …

Recent advances in Large Language Models (LLMs) have significantly shaped the
applications of AI in multiple fields, including the studies of legal intelligence. Trained on …

Session Search holds significant importance in the field of information retrieval and user
experience. In this paper, we detail the approach of the THUIR_SS team in the NTCIR17 …