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20242026
most citedWhy Database Manuals Are Not Enough: Efficient and Reliable Configuration Tuning for DBMSs via Code-Driven LLM Agents

3 citations · 3 across the 5 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

cs.DB2025

Performant Synchronization in Geo-Distributed Databases

Duling Xu, Tong Li, Zegang Sun +5

The deployment of databases across geographically distributed regions has become increasingly critical for ensuring data reliability and scalability. Recent studies indicate that d…

cs.DB2025

Anomaly Pattern-guided Transaction Bug Testing in Relational Databases

Huicong Xu, Shuang Liu, Xianyu Zhu +3

Concurrent transaction processing is a fundamental capability of Relational Database Management Systems (RDBMSs), widely utilized in applications requiring high levels of parallel…

cs.SE2025

Testing Question Answering Software with Context-Driven Question Generation

Shuang Liu, Zhirun Zhang, Jinhao Dong +5

Question-answering software is becoming increasingly integrated into our daily lives, with prominent examples including Apple Siri and Amazon Alexa. Ensuring the quality of such sy…

cs.CL2025

Investigating the Impact of Rationales for LLMs on Natural Language Understanding

Wenhang Shi, Shuqing Bian, Yiren Chen +5

Chain-of-thought (CoT) rationales, which provide step-by-step reasoning to derive final answers, benefit LLMs in both inference and training. Incorporating rationales, either by ge…

cs.CL2025

No Loss, No Gain: Gated Refinement and Adaptive Compression for Prompt Optimization

Wenhang Shi, Yiren Chen, Shuqing Bian +6

Prompt engineering is crucial for leveraging the full potential of large language models (LLMs). While automatic prompt optimization offers a scalable alternative to costly manual…

cs.DB2025

Conformance Testing of Relational DBMS Against SQL Specifications

Shuang Liu, Chenglin Tian, Jun Sun +6

A Relational Database Management System (RDBMS) is one of the fundamental software that supports a wide range of applications, making it critical to identify bugs within these syst…