most citedMake a Choice! Knowledge Base Question Answering with In-Context Learning

4 citations · 4 across the 2 of their papers we have counts for

collaborators

2 papers

cs.CL2024

Probing Language Models for Pre-training Data Detection

Zhenhua Liu, Tong Zhu, Chuanyuan Tan +3

Large Language Models (LLMs) have shown their impressive capabilities, while also raising concerns about the data contamination problems due to privacy issues and leakage of benchm…

cs.CL2023★ 4 cited

Make a Choice! Knowledge Base Question Answering with In-Context Learning

Chuanyuan Tan, Yuehe Chen, Wenbiao Shao +1

Question answering over knowledge bases (KBQA) aims to answer factoid questions with a given knowledge base (KB). Due to the large scale of KB, annotated data is impossible to cove…