all AI news
ChatUIE: Exploring Chat-based Unified Information Extraction using Large Language Models
March 11, 2024, 4:47 a.m. | Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou
cs.CL updates on arXiv.org arxiv.org
Abstract: Recent advancements in large language models have shown impressive performance in general chat. However, their domain-specific capabilities, particularly in information extraction, have certain limitations. Extracting structured information from natural language that deviates from known schemas or instructions has proven challenging for previous prompt-based methods. This motivated us to explore domain-specific modeling in chat-based language models as a solution for extracting structured information from natural language. In this paper, we present ChatUIE, an innovative unified information …
abstract arxiv capabilities chat cs.ai cs.cl domain extraction general however information information extraction language language models large language large language models limitations natural natural language performance prompt type
More from arxiv.org / cs.CL updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne