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Gang Chen

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#artificial intelligence Preprint Oct 2026

LYNX: Analytical Program Synthesis via Grounding and Closed-Loop Refinement

LLM-powered data analytics aims to translate natural language instructions into executable analytical programs over underlying data. However, existing approaches, whether treating LLMs as intent-to-code translators or as standalone analytical engines, often fail to reliably align domain semantics with complex schemas a...

Rui-Chen Xia, Xiao-Chuan Han, Ding-Yu Yang et al. · 0 citations
Book Open access Jul 2026

Corpus-Centric Learning for Zero-Shot Table Retrieval

GeCo-TR is proposed, a zero-shot table retrieval framework that eliminates the need for supervised QA data by shifting from direct query-to-table learning to modeling the intrinsic structural semantics of the table corpus, resulting in high-precision and high-recall retrieval for implicit queries in a zero-shot setting...

Zhou He, Zhifei Pang, Xiu Tang et al. · 0 citations

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