Mitigating Entity-Level Hallucination in Large Language Models
The emergence of Large Language Models (LLMs) has revolutionized how users access
information, shifting from traditional search engines to direct question-and-answer …
information, shifting from traditional search engines to direct question-and-answer …
Leveraging passage embeddings for efficient listwise reranking with large language models
Recent studies have demonstrated the effectiveness of using large language language
models (LLMs) in passage ranking. The listwise approaches, such as RankGPT, have …
models (LLMs) in passage ranking. The listwise approaches, such as RankGPT, have …
STARD: A Chinese Statute Retrieval Dataset with Real Queries Issued by Non-professionals
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 …
basis of a wide range of legal applications such as legal advice, automated judicial …
LeKUBE: A Legal Knowledge Update BEnchmark
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 …
applications of AI in multiple fields, including the studies of legal intelligence. Trained on …
[PDF][PDF] Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions
Pre-training for Legal Case Retrieval Based on Inter-Case Distinctions Page 1 Pre-training for
Legal Case Retrieval Based on Inter-Case Distinctions WEIHANG SU, Quan Cheng Laboratory …
Legal Case Retrieval Based on Inter-Case Distinctions WEIHANG SU, Quan Cheng Laboratory …