323 citations · 583 across the 26 of their papers we have counts for
30 papers
The Cambridge Report on Database Research
Anastasia Ailamaki, Samuel Madden, Daniel Abadi +43
On October 19 and 20, 2023, the authors of this report convened in Cambridge, MA, to discuss the state of the database research field, its recent accomplishments and ongoing challe…
TimelineQA: A Benchmark for Question Answering over Timelines
Wang-Chiew Tan, Jane Dwivedi-Yu, Yuliang Li +4
Lifelogs are descriptions of experiences that a person had during their life. Lifelogs are created by fusing data from the multitude of digital services, such as online photos, map…
Reimagining Retrieval Augmented Language Models for Answering Queries
Wang-Chiew Tan, Yuliang Li, Pedro Rodriguez +4
We present a reality check on large language models and inspect the promise of retrieval augmented language models in comparison. Such language models are semi-parametric, where mo…
Unstructured and structured data: Can we have the best of both worlds with large language models?
Wang-Chiew Tan
This paper presents an opinion on the potential of using large language models to query on both unstructured and structured data. It also outlines some research challenges related…
Annotating Columns with Pre-trained Language Models
Yoshihiko Suhara, Jinfeng Li, Yuliang Li +4
Inferring meta information about tables, such as column headers or relationships between columns, is an active research topic in data management as we find many tables are missing…
Convex Aggregation for Opinion Summarization
Hayate Iso, Xiaolan Wang, Yoshihiko Suhara +2
Recent advances in text autoencoders have significantly improved the quality of the latent space, which enables models to generate grammatical and consistent text from aggregated l…