activity
20232026
most citedC3: Zero-shot Text-to-SQL with ChatGPT

28 citations · 34 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CR2026

Fully Unleashing the Multimodal Attacker: Meta-Adaptive Jailbreaking of Vision-Language Models

Benlei Cui, Shen Pang, Yuke Wang +7

The safety of large vision-language models is increasingly stress-tested by multimodal jailbreaks, yet existing attacks remain largely static at the meta level: template-based atta…

cs.CL2026

Every Step Counts: Step-Level Credit Assignment for Tool-Integrated Text-to-SQL

Yaxun Dai, Baolin Sun, Junying Wang +6

Tool-integrated Text-to-SQL parsing has emerged as a promising paradigm, framing SQL generation as a sequential decision-making process interleaved with tool execution. However, ex…

cs.CV2026

Diffusion Probe: Generated Image Result Prediction Using CNN Probes

Benlei Cui, Bukun Huang, Zhizeng Ye +7

Text-to-image (T2I) diffusion models lack an efficient mechanism for early quality assessment, leading to costly trial-and-error in multi-generation scenarios such as prompt iterat…

cs.DB2025★ 2 cited

DAgent: A Relational Database-Driven Data Analysis Report Generation Agent

Wenyi Xu, Yuren Mao, Xiaolu Zhang +4

Relational database-driven data analysis (RDB-DA) report generation, which aims to generate data analysis reports after querying relational databases, has been widely applied in fi…

cs.CL2024★ 4 cited

FIT-RAG: Black-Box RAG with Factual Information and Token Reduction

Yuren Mao, Xuemei Dong, Wenyi Xu +3

Due to the extraordinarily large number of parameters, fine-tuning Large Language Models (LLMs) to update long-tail or out-of-date knowledge is impractical in lots of applications.…

cs.CL2023★ 28 cited

C3: Zero-shot Text-to-SQL with ChatGPT

Xuemei Dong, Chao Zhang, Yuhang Ge +5

This paper proposes a ChatGPT-based zero-shot Text-to-SQL method, dubbed C3, which achieves 82.3\% in terms of execution accuracy on the holdout test set of Spider and becomes the…