Can large language models understand uncommon meanings of common words?

no code implementations • 9 May 2024 • Jinyang Wu, Feihu Che, Xinxin Zheng, Shuai Zhang, Ruihan Jin, Shuai Nie, Pengpeng Shao, JianHua Tao

Large language models (LLMs) like ChatGPT have shown significant advancements across diverse natural language understanding (NLU) tasks, including intelligent dialogue and autonomous agents.

Natural Language Understanding

KS-LLM: Knowledge Selection of Large Language Models with Evidence Document for Question Answering

no code implementations • 24 Apr 2024 • Xinxin Zheng, Feihu Che, Jinyang Wu, Shuai Zhang, Shuai Nie, Kang Liu, JianHua Tao

Large language models (LLMs) suffer from the hallucination problem and face significant challenges when applied to knowledge-intensive tasks.

Hallucination Question Answering +2