3 citations · 6 across the 7 of their papers we have counts for
7 papers
Commonsense Knowledge with Negation: A Resource to Enhance Negation Understanding
Zijie Wang, MohammadHossein Rezaei, Farzana Rashid +1
Negation is a common and important semantic feature in natural language, yet Large Language Models (LLMs) struggle when negation is involved in natural language understanding tasks…
Identifying and Answering Questions with False Assumptions: An Interpretable Approach
Zijie Wang, Eduardo Blanco
People often ask questions with false assumptions, a type of question that does not have regular answers. Answering such questions requires first identifying the false assumptions.…
Interpreting Answers to Yes-No Questions in Dialogues from Multiple Domains
Zijie Wang, Farzana Rashid, Eduardo Blanco
People often answer yes-no questions without explicitly saying yes, no, or similar polar keywords. Figuring out the meaning of indirect answers is challenging, even for large langu…
Interpreting Indirect Answers to Yes-No Questions in Multiple Languages
Zijie Wang, Md Mosharaf Hossain, Shivam Mathur +8
Yes-no questions expect a yes or no for an answer, but people often skip polar keywords. Instead, they answer with long explanations that must be interpreted. In this paper, we foc…
Benchmark of DNN Model Search at Deployment Time
Lixi Zhou, Arindam Jain, Zijie Wang +3
Deep learning has become the most popular direction in machine learning and artificial intelligence. However, the preparation of training data, as well as model training, are often…
Survive the Schema Changes: Integration of Unmanaged Data Using Deep Learning
Zijie Wang, Lixi Zhou, Amitabh Das +3
Data is the king in the age of AI. However data integration is often a laborious task that is hard to automate. Schema change is one significant obstacle to the automation of the e…
It's the Best Only When It Fits You Most: Finding Related Models for Serving Based on Dynamic Locality Sensitive Hashing
Lixi Zhou, Zijie Wang, Amitabh Das +1
In recent, deep learning has become the most popular direction in machine learning and artificial intelligence. However, preparation of training data is often a bottleneck in the l…