activity
20232026
most citedSolid-SQL: Enhanced Schema-linking based In-context Learning for Robust Text-to-SQL

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

ProgramTab: Boosting Table Reasoning of LLMs via Programmatic Paradigm

Pei Guo, Enjie Liu, Yunzhi Tan +6

Table-based reasoning with large language models (LLMs), which requires reasoning based on natural language questions and structured tabular data, has gained widespread attention.…

cs.CL2025

DCMM-SQL: Automated Data-Centric Pipeline and Multi-Model Collaboration Training for Text-to-SQL Model

Yuanzhen Xie, Liu Ye, Jiqun Chu +5

Text-to-SQL tasks have gained attractive improvements since the release of ChatGPT. Among them, agent-based frameworks have been widely used in this field. However, the impact of d…

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…

cs.CL2024★ 1 cited

Solid-SQL: Enhanced Schema-linking based In-context Learning for Robust Text-to-SQL

Geling Liu, Yunzhi Tan, Ruichao Zhong +5

Recently, large language models (LLMs) have significantly improved the performance of text-to-SQL systems. Nevertheless, many state-of-the-art (SOTA) approaches have overlooked the…

cs.LG2024

CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network

Chenglin Li, Yuanzhen Xie, Chenyun Yu +4

Inductive representation learning on temporal heterogeneous graphs is crucial for scalable deep learning on heterogeneous information networks (HINs) which are time-varying, such a…

cs.CL2024

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm

Yuanzhen Xie, Xinzhou Jin, Tao Xie +7

In-context learning of large-language models (LLMs) has achieved remarkable success in the field of natural language processing, while extensive case studies reveal that the single…

cs.AI2023

Olapa-MCoT: Enhancing the Chinese Mathematical Reasoning Capability of LLMs

Shaojie Zhu, Zhaobin Wang, Chengxiang Zhuo +3

In the past two years, the outstanding performance of ChatGPT in multilingual and multitasking has led to large language models (LLMs) attracting widespread attention. However, res…