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

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024

Can large language models understand uncommon meanings of common words?

Jinyang Wu, Feihu Che, Xinxin Zheng +5

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

cs.CL2024★ 1 cited

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

Xinxin Zheng, Feihu Che, Jinyang Wu +4

Large language models (LLMs) suffer from the hallucination problem and face significant challenges when applied to knowledge-intensive tasks. A promising approach is to leverage ev…