2 citations · 3 across the 12 of their papers we have counts for
8 papers · 1 filter
VisualTrust: Video Reasoning under On-Screen Claim Framing
Huachao Zhu, Junjielong Xu, Sicheng Li +5
On-screen text can describe what a video shows, or it can frame what the video is supposed to mean. Current benchmarks treat both alike, testing whether a model can read the text r…
CodeLift: Your Test Suite Is Secretly a Dense SWE Curriculum
Junjielong Xu, Huachao Zhu, Alyssa Wu +2
The pass-all-test binary reward has become a standard recipe for training software engineering agents, but its sparsity eliminates difference of partially correct patches. The test…
Beyond Fault Localization: A Trajectory-Level Study of LLM Agents for Microservice Root Cause Analysis
Qisheng Lu, Aoyang Fang, Junjielong Xu +5
Automated microservice root cause analysis (RCA) is usually evaluated by whether the final answer localizes the fault source. This is insufficient for on-call site reliability engi…
PAIChecker: Uncovering and Checking PR-Issue Misalignment in SWE-Bench-Like Benchmarks
Manyi Wang, Junjielong Xu, Pinjia He
SWE-bench-like benchmarks are widely used for evaluating LLM's issue resolution capability. They typically follow a common construction pipeline: each PR (Pull Request) is paired w…
SWE-ABS: Adversarial Benchmark Strengthening Exposes Inflated Success Rates on Test-based Benchmark
Boxi Yu, Yang Cao, Yuzhong Zhang +9
The SWE-Bench Verified leaderboard is approaching saturation, with the top system achieving 78.80%. However, we show that this performance is inflated. Our re-evaluation reveals th…
DeLog: An Efficient Log Compression Framework with Pattern Signature Synthesis
Siyu Yu, Yifan Wu, Junjielong Xu +8
Parser-based log compression, which separates static templates from dynamic variables, is a promising approach to exploit the unique structure of log data. However, its performance…
MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning
Jianbo Yu, Yixuan Li, Hai Xu +5
Log parsing converts semi-structured logs into structured templates, forming a critical foundation for downstream analysis. Traditional syntax and semantic-based parsers often stru…
SWE-Manager: Selecting and Synthesizing Golden Proposals Before Coding
Boyin Tan, Haoning Deng, Junyuan Zhang +3
Large language model (LLM) research in software engineering has largely focused on tasks such as code generation and bug repair. In practice, teams often draft multiple candidate p…