5 papers
Skill Coverage: A Test Adequacy Metric for Agent Skills
Boyin Tan, Xiaowei Huang, Youcheng Sun
Agent skills encode reusable procedural knowledge for large language model (LLM) agents, and existing benchmarks show that such skills can improve task-level performance. However,…
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…
ASK: Adaptive Self-improving Knowledge Framework for Audio Text Retrieval
Siyuan Fu, Xuchen Guo, Mingjun Liu +7
The dominant paradigm for Audio-Text Retrieval (ATR) relies on dual-encoder architectures optimized via mini-batch contrastive learning. However, restricting optimization to local…
Scalable Supervising Software Agents with Patch Reasoner
Junjielong Xu, Boyin Tan, Xiaoyuan Liu +3
While large language model agents have advanced software engineering tasks, the unscalable nature of existing test-based supervision is limiting the potential improvement of data s…
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…