most citedGenerating a Structured Summary of Numerous Academic Papers: Dataset and Method

17 citations · 22 across the 6 of their papers we have counts for

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6 papers

cs.CL20243 cited

Self-assessment, Exhibition, and Recognition: a Review of Personality in Large Language Models

Zhiyuan Wen, Yu Yang, Jiannong Cao +3

As large language models (LLMs) appear to behave increasingly human-like in text-based interactions, more and more researchers become interested in investigating personality in LLM…

cs.CL2024

Personality-affected Emotion Generation in Dialog Systems

Zhiyuan Wen, Jiannong Cao, Jiaxing Shen +3

Generating appropriate emotions for responses is essential for dialog systems to provide human-like interaction in various application scenarios. Most previous dialog systems tried…

cs.CL20241 cited

Affective-NLI: Towards Accurate and Interpretable Personality Recognition in Conversation

Zhiyuan Wen, Jiannong Cao, Yu Yang +2

Personality Recognition in Conversation (PRC) aims to identify the personality traits of speakers through textual dialogue content. It is essential for providing personalized servi…

cs.CL2024

Low-Resource Court Judgment Summarization for Common Law Systems

Shuaiqi Liu, Jiannong Cao, Yicong Li +2

Common law courts need to refer to similar precedents' judgments to inform their current decisions. Generating high-quality summaries of court judgment documents can facilitate leg…

cs.CL202317 cited

Generating a Structured Summary of Numerous Academic Papers: Dataset and Method

Shuaiqi Liu, Jiannong Cao, Ruosong Yang +1

Writing a survey paper on one research topic usually needs to cover the salient content from numerous related papers, which can be modeled as a multi-document summarization (MDS) t…

cs.CL20231 cited

Long Text and Multi-Table Summarization: Dataset and Method

Shuaiqi Liu, Jiannong Cao, Ruosong Yang +1

Automatic document summarization aims to produce a concise summary covering the input document's salient information. Within a report document, the salient information can be scatt…