ChatGPT is a powerful large language model (LLM) that covers knowledge resources such
as Wikipedia and supports natural language question answering using its own knowledge …

Answering complex factual questions has drawn a lot of attention. Researchers leverage
various data sources to support complex QA, such as unstructured texts, structured …

We propose the use of controlled natural language as a target for knowledge graph question
answering (KGQA) semantic parsing via language models as opposed to using formal query …

Despite recent progress in text-to-SQL parsing, current semantic parsers are still not
accurate enough for practical use. In this paper, we investigate how to build automatic text-to …

Numerical reasoning is a vital capability for natural language processing models to
understand and process numerical information in real-world scenarios. Most current …

Knowledge graphs (KGs) are large datasets with specific structures representing large
knowledge bases (KB) where each node represents a key entity and relations amongst them …

We present Visual Knowledge oriented Programming platform (VisKoP), a knowledge base
question answering (KBQA) system that integrates human into the loop to edit and debug …

Abstract Knowledge base question answering aims to answer complex questions from large-
scale knowledge bases. Although existing generative language models that translate …

Abstract Knowledge base question answering (KBQA) is an important task of extracting
answers from a knowledge base by analyzing natural language questions. Semantic …

Program induction is a crucial paradigm for complex question answering over knowledge
bases. In the existing learning framework, the predicted program is required to strictly align …