1 citations · 1 across the 5 of their papers we have counts for
Showing 2023Show all
2 papers · 1 filter
cs.CL2023★ 1 cited
How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions
Houquan Zhou, Yang Hou, Zhenghua Li +4
While recent advancements in large language models (LLMs) bring us closer to achieving artificial general intelligence, the question persists: Do LLMs truly understand language, or…
cs.CL2023
High-order Joint Constituency and Dependency Parsing
Yanggan Gu, Yang Hou, Zhefeng Wang +2
This work revisits the topic of jointly parsing constituency and dependency trees, i.e., to produce compatible constituency and dependency trees simultaneously for input sentences,…