Improving an LLM agent requires knowing what to change when it fails. Similar failures can require different fixes, and resolving one problem can expose another. We introduce Trace-to-Architecture (T2A), a framework that uses execution trajectories to determine what to change in an agent's harness and when those change...
Wen-Feng Wang, Jian-Rui Shi, Min-Gang Guo et al.· 0 citations
The proposed SymDict, a hybrid fuzzing system based on symbolic dictionaries, reduces redundant symbolic execution by performing constraint solving only at uncovered branches in frontier basic blocks, and partitions constraint sets into solvable subsets, combines solutions with offset information to create symbolic dic...
Chengyu Fei, Jia-Jun Sun, Donghai Tian et al.· International Conference on...· 0 citations
AnchorRepair is proposed, a dual-agent framework that treats the Java source as first-class diagnostic evidence that generalizes across LLM backends without modification and achieves repair coverage comparable to a general-purpose coding agent at less than half the cost.
Jia-Jun Sun, Yao-Cai Zhao, Feng-Jie Li et al.· 0 citations
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