3 papers
cs.SE2026
Metaphor-Induced Algorithmic Steering: Cross-Domain Procedural Transfer in LLM Code Generation
Zhibo Hu, Chen Wang, Yanfeng Shu +3
Large language models benefit from elements in natural language, such as metaphors and analogies in training data and inference input to achieve generalisability across different d…
cs.CL2026
Metaphors are a Source of Cross-Domain Misalignment of Large Reasoning Models
Zhibo Hu, Chen Wang, Yanfeng Shu +2
Earlier research has shown that metaphors influence human decision-making, raising the question of whether metaphors also influence large language models (LLMs)' reasoning pathways…
cs.CL2025
Ambiguity in LLMs is a concept missing problem
Zhibo Hu, Chen Wang, Yanfeng Shu +2
Ambiguity in natural language is a significant obstacle for achieving accurate text to structured data mapping through large language models (LLMs), which affects the performance o…