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20242026
most citedAssessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks

1 citations · 1 across the 3 of their papers we have counts for

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cs.CL2026

LexIssue: Benchmarking Legal Issue Identification in Chinese Civil Litigation

Huiyuan Xie, Yuqin Huang, Zhicheng Hao +4

Identifying the issues disputed between litigating parties is a crucial component of real-world litigation. However, legal issues remain comparatively underexplored in legal AI res…

cs.CL2025

LexRel: Benchmarking Legal Relation Extraction for Chinese Civil Cases

Yida Cai, Ranjuexiao Hu, Huiyuan Xie +6

Legal relations serve as an important analytical framework for dispute resolution in civil cases. However, legal relations in Chinese civil cases remain underexplored in the field…

cs.CL2025

Rank-Then-Score: Enhancing Large Language Models for Automated Essay Scoring

Yida Cai, Kun Liang, Sanwoo Lee +2

In recent years, large language models (LLMs) achieve remarkable success across a variety of tasks. However, their potential in the domain of Automated Essay Scoring (AES) remains…

cs.CL20241 cited

Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks

Yida Cai, Hao Sun, Hsiu-Yuan Huang +1

Information Extraction (IE) plays a crucial role in Natural Language Processing (NLP) by extracting structured information from unstructured text, thereby facilitating seamless int…

cs.CL2024

Unleashing Large Language Models' Proficiency in Zero-shot Essay Scoring

Sanwoo Lee, Yida Cai, Desong Meng +2

Advances in automated essay scoring (AES) have traditionally relied on labeled essays, requiring tremendous cost and expertise for their acquisition. Recently, large language model…