4 papers
Enhancing Incremental Summarization with Structured Representations
EunJeong Hwang, Yichao Zhou, James Bradley Wendt +4
Large language models (LLMs) often struggle with processing extensive input contexts, which can lead to redundant, inaccurate, or incoherent summaries. Recent methods have used uns…
SUMIE: A Synthetic Benchmark for Incremental Entity Summarization
Eunjeong Hwang, Yichao Zhou, Beliz Gunel +2
No existing dataset adequately tests how well language models can incrementally update entity summaries - a crucial ability as these models rapidly advance. The Incremental Entity…
STRUM-LLM: Attributed and Structured Contrastive Summarization
Beliz Gunel, James B. Wendt, Jing Xie +4
Users often struggle with decision-making between two options (A vs B), as it usually requires time-consuming research across multiple web pages. We propose STRUM-LLM that addresse…
Data-Efficient Information Extraction from Form-Like Documents
Beliz Gunel, Navneet Potti, Sandeep Tata +3
Automating information extraction from form-like documents at scale is a pressing need due to its potential impact on automating business workflows across many industries like fina…