1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.CL2024
Learning to Check: Unleashing Potentials for Self-Correction in Large Language Models
Che Zhang, Zhenyang Xiao, Chengcheng Han +2
Self-correction has achieved impressive results in enhancing the style and security of the generated output from large language models (LLMs). However, recent studies suggest that…
cs.CL2023★ 1 cited
DialCoT Meets PPO: Decomposing and Exploring Reasoning Paths in Smaller Language Models
Chengcheng Han, Xiaowei Du, Che Zhang +4
Chain-of-Thought (CoT) prompting has proven to be effective in enhancing the reasoning capabilities of Large Language Models (LLMs) with at least 100 billion parameters. However, i…
cs.CL2023
Mao-Zedong At SemEval-2023 Task 4: Label Represention Multi-Head Attention Model With Contrastive Learning-Enhanced Nearest Neighbor Mechanism For Multi-Label Text Classification
Che Zhang, Ping'an Liu, Zhenyang Xiao +1
The study of human values is essential in both practical and theoretical domains. With the development of computational linguistics, the creation of large-scale datasets has made i…