most citedMTCMB: A Multi-Task Benchmark Framework for Evaluating LLMs on Knowledge, Reasoning, and Safety in Traditional Chinese Medicine

1 citations · 1 across the 9 of their papers we have counts for

collaborators

9 papers

cs.SE2026

AutoSQL: Extracting SQL Templates from Imperative ORM Code in Large-Scale Repositories

Junsong Pu, Yichen Li, Zhuangbin Chen +2

Suboptimal SQL queries can significantly degrade the performance of cloud systems, motivating the extraction and auditing of SQL statements before deployment. However, Go ORM frame…

cs.SE2026

LogNLQ: Natural-Language Log Querying with Parser-Induced and Semantically Grounded Schemas

Juepeng Wang, Jinyang Liu, Zhuangbin Chen +1

Logs are essential for system monitoring and failure diagnoses in modern software systems, yet querying them through natural language remains an open challenge. Existing approaches…

cs.SE2026

MAS-FIRE: Fault Injection and Reliability Evaluation for LLM-Based Multi-Agent Systems

Jin Jia, Zhiling Deng, Zhuangbin Chen +2

As LLM-based Multi-Agent Systems (MAS) are increasingly deployed for complex tasks, ensuring their reliability has become a pressing challenge. Since MAS coordinate through unstruc…

cs.SE2026

LogPrism: Unifying Structure and Variable Encoding for Effective Log Compression

Yang Liu, Kaiming Zhang, Zhuangbin Chen +1

In the field of log compression, the prevailing "parse-then-compress" paradigm fundamentally limits effectiveness by treating log parsing and compression as isolated objectives. Wh…

cs.SE2026

Cast: Automated Resilience Testing for Production Cloud Service Systems

Zhuangbin Chen, Zhiling Deng, Kaiming Zhang +4

The distributed nature of microservice architecture introduces significant resilience challenges. Traditional testing methods, limited by extensive manual effort and oversimplified…

cs.SE2025

Metronome: Differentiated Delay Scheduling for Serverless Functions

Zhuangbin Chen, Juzheng Zheng, Zibin Zheng

Function-as-a-Service (FaaS) computing is an emerging cloud computing paradigm for its ease-of-management and elasticity. However, optimizing scheduling for serverless functions re…