2 papers
cs.AI2026
Investigating More Explainable and Partition-Free Compositionality Estimation for LLMs: A Rule-Generation Perspective
Ziyao Xu, Cong Wang, Houfeng Wang
Compositional generalization tests are often used to estimate the compositionality of LLMs. However, such tests have the following limitations: (1) they only focus on the output re…
cs.CL2025
Investigating the (De)Composition Capabilities of Large Language Models in Natural-to-Formal Language Conversion
Ziyao Xu, Houfeng Wang
To achieve generalized and robust natural-to-formal language conversion (N2F), large language models (LLMs) need to have strong capabilities of decomposition and composition in N2F…