in-context learning 1large language models 1programmatic preprocessing 1python code generation 1table reasoning 1text-to-sql 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CL2026
ProgramTab: Boosting Table Reasoning of LLMs via Programmatic Paradigm
Pei Guo, Enjie Liu, Yunzhi Tan +6
The paper introduces ProgramTab, a framework that uses in‑context learning and Python code generation to preprocess large tables and extract relevant sub‑tables, enabling large lan…
cs.CL2025
Toward Structured Knowledge Reasoning: Contrastive Retrieval-Augmented Generation on Experience
Jiawei Gu, Ziting Xian, Yuanzhen Xie +7
Large language models (LLMs) achieve strong performance on plain text tasks but underperform on structured data like tables and databases. Potential challenges arise from their und…
cs.DB2025
PSM-SQL: Progressive Schema Learning with Multi-granularity Semantics for Text-to-SQL
Zhuopan Yang, Yuanzhen Xie, Ruichao Zhong +6
It is challenging to convert natural language (NL) questions into executable structured query language (SQL) queries for text-to-SQL tasks due to the vast number of database schema…