most citedMM-SafetyBench: A Benchmark for Safety Evaluation of Multimodal Large Language Models

7 citations · 15 across the 9 of their papers we have counts for

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cs.CL2024★ 2 cited

Unsupervised Text Style Transfer via LLMs and Attention Masking with Multi-way Interactions

Lei Pan, Yunshi Lan, Yang Li +1

Unsupervised Text Style Transfer (UTST) has emerged as a critical task within the domain of Natural Language Processing (NLP), aiming to transfer one stylistic aspect of a sentence…

cs.CL2024

TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning

Xiang Li, Yunshi Lan, Chao Yang

Recently, numerous new benchmarks have been established to evaluate the performance of large language models (LLMs) via either computing a holistic score or employing another LLM a…

cs.CL2024★ 3 cited

Survey of Natural Language Processing for Education: Taxonomy, Systematic Review, and Future Trends

Yunshi Lan, Xinyuan Li, Hanyue Du +4

Natural Language Processing (NLP) aims to analyze text or speech via techniques in the computer science field. It serves applications in the domains of healthcare, commerce, educat…

cs.CL2023★ 2 cited

FlaCGEC: A Chinese Grammatical Error Correction Dataset with Fine-grained Linguistic Annotation

Hanyue Du, Yike Zhao, Qingyuan Tian +4

Chinese Grammatical Error Correction (CGEC) has been attracting growing attention from researchers recently. In spite of the fact that multiple CGEC datasets have been developed to…

cs.CL2023

R Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context

Qingyuan Tian, Hanlun Zhu, Lei Wang +2

With the help of Chain-of-Thought (CoT) prompting, Large Language Models (LLMs) have achieved remarkable performance on various reasoning tasks. However, most of them have been eva…