1 citations · 2 across the 4 of their papers we have counts for
5 papers
Improving Argument Saliency Coverage in Small LLMs for Long Legal Opinion Summarization via Sequence-Level Distillation
Mohamed Elaraby, Ahmed Elhady, Diane Litman
We show that sequence-level distillation from a capable long-context teacher model is a simple, annotation-free, and data-efficient strategy for improving argument saliency coverag…
ARC: Argument Representation and Coverage Analysis for Zero-Shot Long Document Summarization with Instruction Following LLMs
Mohamed Elaraby, Diane Litman
We introduce Argument Representation Coverage (ARC), a bottom-up evaluation framework that assesses how well summaries preserve salient arguments, a crucial issue in summarizing hi…
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…
Persuasiveness of Generated Free-Text Rationales in Subjective Decisions: A Case Study on Pairwise Argument Ranking
Mohamed Elaraby, Diane Litman, Xiang Lorraine Li +1
Generating free-text rationales is among the emergent capabilities of Large Language Models (LLMs). These rationales have been found to enhance LLM performance across various NLP t…
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…