Wikidata is a free, multilingual, open knowledge-base that stores structured, linked data. It
has grown rapidly and as of December 2022 contains over 100 million items and millions of …

Knowledge Base Question Answering (KBQA) has been a long-standing field to answer
questions based on knowledge bases. Recently, the evolving dynamics of knowledge have …

The dynamic nature of knowledge in an ever-changing world presents challenges for
language models trained on static data; the model in the real world often requires not only …

Knowledge Base Question Answering (KBQA) tasks that in-volve complex reasoning are
emerging as an important re-search direction. However, most KBQA systems struggle …

Temporal question answering (QA) is a special category of complex question answering
task that requires reasoning over facts asserting time intervals of events. Previous works …

Temporal reasoning over tabular data presents substantial challenges for large language
models (LLMs), as evidenced by recent research. In this study, we conduct a comprehensive …

Most benchmarks designed for question answering over knowledge bases (KBQA) operate
with the iid assumption where one encounters the same schema items during inference as …

Answering factual questions with temporal intent over knowledge graphs (temporal KGQA)
attracts rising attention in recent years. In the generation of temporal queries, existing KGQA …

Most benchmarks for question answering on knowledge bases (KBQA) operate with the iid
assumption. Recently, the GrailQA dataset was established to evaluate zero-shot …

Semi-structured tabular data, such as ones in e-commerce product descriptions, annual
financial reports, sports score statistics, scientific articles, etc., are ubiquitous in real-world …