most citedDeliLaw: A Chinese Legal Counselling System Based on a Large Language Model

4 citations · 11 across the 7 of their papers we have counts for

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cs.CL20244 cited

DeliLaw: A Chinese Legal Counselling System Based on a Large Language Model

Nan Xie, Yuelin Bai, Hengyuan Gao +7

Traditional legal retrieval systems designed to retrieve legal documents, statutes, precedents, and other legal information are unable to give satisfactory answers due to lack of s…

cs.CL20241 cited

Improving In-Context Learning with Prediction Feedback for Sentiment Analysis

Hongling Xu, Qianlong Wang, Yice Zhang +4

Large language models (LLMs) have achieved promising results in sentiment analysis through the in-context learning (ICL) paradigm. However, their ability to distinguish subtle sent…

cs.CL20242 cited

A Challenge Dataset and Effective Models for Conversational Stance Detection

Fuqiang Niu, Min Yang, Ang Li +3

Previous stance detection studies typically concentrate on evaluating stances within individual instances, thereby exhibiting limitations in effectively modeling multi-party discus…

cs.CL20243 cited

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property

Shiwen Ni, Minghuan Tan, Yuelin Bai +9

Large language models (LLMs) have demonstrated impressive performance in various natural language processing (NLP) tasks. However, there is limited understanding of how well LLMs p…

cs.CL20241 cited

E-EVAL: A Comprehensive Chinese K-12 Education Evaluation Benchmark for Large Language Models

Jinchang Hou, Chang Ao, Haihong Wu +8

With the accelerating development of Large Language Models (LLMs), many LLMs are beginning to be used in the Chinese K-12 education domain. The integration of LLMs and education is…

cs.CL2024

Unifying Structured Data as Graph for Data-to-Text Pre-Training

Shujie Li, Liang Li, Ruiying Geng +8

Data-to-text (D2T) generation aims to transform structured data into natural language text. Data-to-text pre-training has proved to be powerful in enhancing D2T generation and yiel…