2 citations · 4 across the 5 of their papers we have counts for
8 papers · 1 filter
Discourse-Driven Evaluation: Unveiling Factual Inconsistency in Long Document Summarization
Yang Zhong, Diane Litman
Detecting factual inconsistency for long document summarization remains challenging, given the complex structure of the source article and long summary length. In this work, we stu…
AI-generated Essays: Characteristics and Implications on Automated Scoring and Academic Integrity
Yang Zhong, Jiangang Hao, Michael Fauss +2
The rapid advancement of large language models (LLMs) has enabled the generation of coherent essays, making AI-assisted writing increasingly common in educational and professional…
ReflectSumm: A Benchmark for Course Reflection Summarization
Yang Zhong, Mohamed Elaraby, Diane Litman +2
This paper introduces ReflectSumm, a novel summarization dataset specifically designed for summarizing students' reflective writing. The goal of ReflectSumm is to facilitate develo…
Overview of ImageArg-2023: The First Shared Task in Multimodal Argument Mining
Zhexiong Liu, Mohamed Elaraby, Yang Zhong +1
This paper presents an overview of the ImageArg shared task, the first multimodal Argument Mining shared task co-located with the 10th Workshop on Argument Mining at EMNLP 2023. Th…
STRONG -- Structure Controllable Legal Opinion Summary Generation
Yang Zhong, Diane Litman
We propose an approach for the structure controllable summarization of long legal opinions that considers the argument structure of the document. Our approach involves using predic…
Towards Argument-Aware Abstractive Summarization of Long Legal Opinions with Summary Reranking
Mohamed Elaraby, Yang Zhong, Diane Litman
We propose a simple approach for the abstractive summarization of long legal opinions that considers the argument structure of the document. Legal opinions often contain complex an…