2 papers
cs.CL2026
Decoupling Generation and Selection for Budget-Constrained Faithful Summarization
Zeyu Wang, Guanghua Wang, Meng Xu
Abstractive summarization models remain vulnerable to factual inconsistency, redundancy, and weak length control. We propose a modular generation-and-selection framework for senten…
cs.CL2023
Surveying the Landscape of Text Summarization with Deep Learning: A Comprehensive Review
Guanghua Wang, Weili Wu
In recent years, deep learning has revolutionized natural language processing (NLP) by enabling the development of models that can learn complex representations of language data, l…