PokeMQA: Programmable knowledge editing for Multi-hop Question Answering

Multi-hop question answering (MQA) is one of the challenging tasks to evaluate machine’s comprehension and reasoning abilities, where large language models (LLMs) have widely achieved the human-comparable performance.

Data and Resources

Cite this as

Hengrui Gu, Kaixiong Zhou, Xiaotian Han, Ninghao Liu, Ruobing Wang, Xin Wang (2024). Dataset: PokeMQA: Programmable knowledge editing for Multi-hop Question Answering. https://doi.org/10.57702/2ceraeza

DOI retrieved: December 3, 2024

Additional Info

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Created December 3, 2024
Last update December 3, 2024
Defined In https://doi.org/10.48550/arXiv.2312.15194
Author Hengrui Gu
More Authors
Kaixiong Zhou
Xiaotian Han
Ninghao Liu
Ruobing Wang
Xin Wang
Homepage https://github.com/Hengrui-Gu/PokeMQA