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20212024
most citedLarge Language Model based Multi-Agents: A Survey of Progress and Challenges

68 citations · 98 across the 10 of their papers we have counts for

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7 papers · 1 filter

cs.CL20231 cited

Improving the Robustness of Summarization Systems with Dual Augmentation

Xiuying Chen, Guodong Long, Chongyang Tao +4

A robust summarization system should be able to capture the gist of the document, regardless of the specific word choices or noise in the input. In this work, we first explore the…

cs.CL2023

UMSE: Unified Multi-scenario Summarization Evaluation

Shen Gao, Zhitao Yao, Chongyang Tao +4

Summarization quality evaluation is a non-trivial task in text summarization. Contemporary methods can be mainly categorized into two scenarios: (1) reference-based: evaluating wit…

cs.CL202323 cited

Interactive Natural Language Processing

Zekun Wang, Ge Zhang, Kexin Yang +19

Interactive Natural Language Processing (iNLP) has emerged as a novel paradigm within the field of NLP, aimed at addressing limitations in existing frameworks while aligning with t…

cs.CL2023

A Topic-aware Summarization Framework with Different Modal Side Information

Xiuying Chen, Mingzhe Li, Shen Gao +5

Automatic summarization plays an important role in the exponential document growth on the Web. On content websites such as CNN.com and WikiHow.com, there often exist various kinds…

cs.CL20231 cited

Learning towards Selective Data Augmentation for Dialogue Generation

Xiuying Chen, Mingzhe Li, Jiayi Zhang +6

As it is cumbersome and expensive to acquire a huge amount of data for training neural dialog models, data augmentation is proposed to effectively utilize existing training samples…

cs.CL20232 cited

Towards Personalized Review Summarization by Modeling Historical Reviews from Customer and Product Separately

Xin Cheng, Shen Gao, Yuchi Zhang +5

Review summarization is a non-trivial task that aims to summarize the main idea of the product review in the E-commerce website. Different from the document summary which only need…