activity
20232026
most citedAL-Bench: A Benchmark for Automatic Logging

2 citations · 3 across the 12 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

cs.SE2025

A Goal-Driven Survey on Root Cause Analysis

Aoyang Fang, Haowen Yang, Haoze Dong +3

Root Cause Analysis (RCA) is a crucial aspect of incident management in large-scale cloud services. While the term root cause analysis or RCA has been widely used, different studie…

cs.CL2025

Scalable Supervision for Software Agents via Patch Reasoning

Junjielong Xu, Boyin Tan, Xiaoyuan Liu +3

While language model agents have advanced software engineering, existing test-based supervision is limiting its scalability on real-world issues. The reason is twofold: (1) high-co…

cs.CL2025

Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards

Youliang Yuan, Qiuyang Mang, Jingbang Chen +7

In this paper, we observe that current models are susceptible to reward hacking, leading to a substantial overestimation of a model's reasoning ability. This is evidenced by a high…

cs.SE2025

Rethinking the Evaluation of Microservice RCA with a Fault Propagation-Aware Benchmark

Aoyang Fang, Songhan Zhang, Yifan Yang +7

While cloud-native microservice architectures have revolutionized software development, their inherent operational complexity makes failure Root Cause Analysis (RCA) a critical yet…

cs.SE2025★ 2 cited

AL-Bench: A Benchmark for Automatic Logging

Boyin Tan, Junjielong Xu, Zhouruixing Zhu +1

Logging, the practice of inserting log statements into source code, is critical for improving software reliability. Recently, language model-based techniques have been developed to…

cs.SE2025

Repo2Run: Automated Building Executable Environment for Code Repository at Scale

Ruida Hu, Chao Peng, Xinchen Wang +2

Scaling up executable code data is significant for improving language models' software engineering capability. The intricate nature of the process makes it labor-intensive, time-co…