登录
洞察 - Text Summarization
Mitigating Hallucinations in Large Language Models through Diversity-Aware Active Learning for Text Summarization
This paper proposes an active learning framework to effectively and efficiently mitigate hallucinations in large language models (LLMs) for text summarization by selecting diverse hallucination samples for annotation and finetuning.
A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methods
This survey explores process-oriented automatic text summarization and the impact of Large Language Models (LLMs) on ATS methods.
