A novel method called DKA is presented, which introduces a limited set of concept-supervised data to enhance the knowledge base, effectively solving the reasoning shortcut problem and improving the applicability of the NeSy system.
Yu-Feng Li, Xiao-Wen Yang, Wenda Wei et al.· Proceedings of the 32nd ACM...· 0 citations
Long-horizon web agents frequently fail without knowing where or why execution broke down. This issue is particularly pronounced in skill-based agentic web systems, where failures arise within composite skills whose internal decision processes are not directly traceable, making precise diagnosis and repair especially d...
Yuyang Li, Yiran Dou, Jiejing Shao et al.· Proceedings of the 32nd ACM...· 5 citations
Recent advancements in neuro-symbolic learning (NeSy) have shown significant promise in integrating deep learning with symbolic reasoning, offering both interpretability and generalization. However, the prevalence of reasoning shortcuts, where the NeSy system predicts incorrect intermediate concepts while maintaining h...
Yu-Feng Li, Xiaowen Yang, Wenda Wei et al.· Proceedings of the 32nd ACM...· 0 citations
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