1 citations · 2 across the 6 of their papers we have counts for
6 papers
Decomposed Opinion Summarization with Verified Aspect-Aware Modules
Miao Li, Jey Han Lau, Eduard Hovy +1
Opinion summarization plays a key role in deriving meaningful insights from large-scale online reviews. To make the process more explainable and grounded, we propose a domain-agnos…
NewsBench: A Systematic Evaluation Framework for Assessing Editorial Capabilities of Large Language Models in Chinese Journalism
Miao Li, Ming-Bin Chen, Bo Tang +8
We present NewsBench, a novel evaluation framework to systematically assess the capabilities of Large Language Models (LLMs) for editorial capabilities in Chinese journalism. Our c…
A Sentiment Consolidation Framework for Meta-Review Generation
Miao Li, Jey Han Lau, Eduard Hovy
Modern natural language generation systems with Large Language Models (LLMs) exhibit the capability to generate a plausible summary of multiple documents; however, it is uncertain…
Summarizing Multiple Documents with Conversational Structure for Meta-Review Generation
Miao Li, Eduard Hovy, Jey Han Lau
We present PeerSum, a novel dataset for generating meta-reviews of scientific papers. The meta-reviews can be interpreted as abstractive summaries of reviews, multi-turn discussion…
Compressed Heterogeneous Graph for Abstractive Multi-Document Summarization
Miao Li, Jianzhong Qi, Jey Han Lau
Multi-document summarization (MDS) aims to generate a summary for a number of related documents. We propose HGSUM, an MDS model that extends an encoder-decoder architecture, to inc…
A Benchmark and Comprehensive Survey on Knowledge Graph Entity Alignment via Representation Learning
Rui Zhang, Bayu Distiawan Trisedy, Miao Li +2
In the last few years, the interest in knowledge bases has grown exponentially in both the research community and the industry due to their essential role in AI applications. Entit…