9 citations · 18 across the 7 of their papers we have counts for
7 papers
CSRP: Chain-of-Thought Reasoning for Chinese Text Correction via Reinforcement Learning with Efficiency-Aware Rewards
Wei Tian, Yuhao Zhou, Man Lan
Large Language Model (LLM) based Chinese Grammatical Error Correction (CGEC) systems face two critical challenges: general-purpose models lack specialized linguistic priors for sub…
CCiV: A Benchmark for Structure, Rhythm and Quality in LLM-Generated Chinese \textit{Ci} Poetry
Shangqing Zhao, Yupei Ren, Yuhao Zhou +2
The generation of classical Chinese \textit{Ci} poetry, a form demanding a sophisticated blend of structural rigidity, rhythmic harmony, and artistic quality, poses a significant c…
Towards Comprehensive Argument Analysis in Education: Dataset, Tasks, and Method
Yupei Ren, Xinyi Zhou, Ning Zhang +3
Argument mining has garnered increasing attention over the years, with the recent advancement of Large Language Models (LLMs) further propelling this trend. However, current argume…
Fùxì: A Benchmark for Evaluating Language Models on Ancient Chinese Text Understanding and Generation
Shangqing Zhao, Yuhao Zhou, Yupei Ren +6
Ancient Chinese text processing presents unique challenges for large language models (LLMs) due to its distinct linguistic features, complex structural constraints, and rich cultur…
A Survey on Temporal Knowledge Graph: Representation Learning and Applications
Li Cai, Xin Mao, Yuhao Zhou +3
Knowledge graphs have garnered significant research attention and are widely used to enhance downstream applications. However, most current studies mainly focus on static knowledge…
Temporal Knowledge Graph Completion with Time-sensitive Relations in Hypercomplex Space
Li Cai, Xin Mao, Zhihong Wang +4
Temporal knowledge graph completion (TKGC) aims to fill in missing facts within a given temporal knowledge graph at a specific time. Existing methods, operating in real or complex…
FinDABench: Benchmarking Financial Data Analysis Ability of Large Language Models
Shu Liu, Shangqing Zhao, Chenghao Jia +7
Large Language Models (LLMs) have demonstrated impressive capabilities across a wide range of tasks. However, their proficiency and reliability in the specialized domain of financi…