A systematic study of observability in agent-generated systems reveals a consistent gap between diagnostic semantics at the source level and fault signals at runtime, suggesting that current evaluations focusing primarily on functional correctness may overlook observability as an important dimension of practical softwa...
Experiments show that BehR-based training improves long-term alignment in several settings, with the clearest gains in WebShop and less movement in near-ceiling regimes, while preserving or improving single-step prediction quality in three of four settings.
Youling Huang, Guan-Qiao Chen, Junchi Yao et al.· arXiv.org· 4 citations
CoHarden is proposed, a co-generation framework that uses the Lax signal as an in-loop convergence criterion that generates a test before any fix, then iteratively hardens the test and fix against surviving mutation patches until the generated test no longer admits Lax regressions.
Yuhao Tan, Zhibang Yang, Fangkai Yang et al.· arXiv.org· 1 citation
This work introduces ToolAtlas, a graph-based framework that builds a persistent provider-side tool memory of tool capabilities, failure boundaries, and cross-tool compositions through execution-verified probing and establishes provider-side tool memory as an effective and reusable paradigm for tool servers.
Yue Fang, Zhibang Yang, Fangkai Yang et al.· arXiv.org· 0 citations
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