Sihao Chen

Using LLM for Improving Key Event Discovery: Temporal-Guided News Stream Clustering with Event Summaries

2023

Understanding and characterizing the discus- sions around key events in news streams is important for analyzing political discourse. In this work, we study the problem of identification of such key events and the news articles …

Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection

2021

Despite significant progress in neural abstractive summarization, recent studies have shown that the current models are prone to generating summaries that are unfaithful to the original context. To address the issue, we study contrast candidate …