6 citations · 6 across the 4 of their papers we have counts for
Showing cs.CLShow all
3 papers · 1 filter
cs.CL2025
DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation
Enze Zhang, Jiaying Wang, Mengxi Xiao +7
Large language models (LLMs) have substantially advanced machine translation (MT), yet their effectiveness in translating web novels remains unclear. Existing benchmarks rely on su…
cs.CL2025
WXImpactBench: A Disruptive Weather Impact Understanding Benchmark for Evaluating Large Language Models
Yongan Yu, Qingchen Hu, Xianda Du +3
Climate change adaptation requires the understanding of disruptive weather impacts on society, where large language models (LLMs) might be applicable. However, their effectiveness…
cs.CL2024
Guardians of Discourse: Evaluating LLMs on Multilingual Offensive Language Detection
Jianfei He, Lilin Wang, Jiaying Wang +5
Identifying offensive language is essential for maintaining safety and sustainability in the social media era. Though large language models (LLMs) have demonstrated encouraging pot…