Modular Symbolic Regression with Physics Priors (MSR-PP), a knowledge-guided framework that conceptualizes one-dimensional PDEs as structured compositions of semantic modules (e.g., convection, diffusion) rather than random symbol sequences, is proposed.
Jinyang Du, Chunguo Wu, Xiao-Hu Shi et al.· Proceedings of the 32nd ACM...· 0 citations
Discovering governing Partial Differential Equations (PDEs) from observational data is a fundamental challenge in AI for Science. While Symbolic Regression (SR) dominates this task, existing token-level methods trigger a combinatorial explosion of search spaces, frequently yielding mathematically valid yet physically i...
Jinyang Du, Chunguo Wu, Xiaohu Shi et al.· Proceedings of the 32nd ACM...· 0 citations
The proposed ReliableRAG is the first reliability-driven framework that mitigates deceptive misinformation in multi-hop QA through fine-grained evaluation of individual triples, and quantifies triple reliability by combining query-triple semantic relevance with triple credibility.
Jingjing Jiang, Xuan Wu, Wen-Hao Song et al.· 0 citations
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