The last mile toward enterprise AGI is a company that runs itself. Training and adapting such agents require longitudinal enterprise data, which remain scarce, costly to acquire, and often restricted by privacy constraints. Historical archives are also frequently incomplete and record only what actually happened. They...
Jing-Ying Zeng, Zhen-Wei Dai, Jin-Ning Li et al.· 0 citations
Tool-using LLM agents are commonly trained and evaluated in environments where tool calls succeed reliably, yet deployed tools can fail transiently, persistently, or silently. Robust recovery therefore requires more than repeated retries: an agent may need to retry the same path, switch to an alternative, or recognize...
Chao-Ran Chen, Vylinh J. Nguyen, Zi-Ji Zhang et al.· 2 citations
FactorDrive is proposed, an end-to-end autonomous driving framework for adaptive multi-step reasoning driven by planning-critical factors (PCFs) and Quality Search-Guided Group Relative Policy Optimization (QS-GRPO), which guides Monte Carlo Tree Search with trajectory-level planning rewards to discover reasoning paths...
Guolei Huang, Tengfei She, Yuxuan Lu et al.· 0 citations
Span-Level Uncertainty Estimation (SLUE) is formalized, a new task that targets the natural granularity for uncertainty: semantically coherent text spans, each conveying a single assessable unit of meaning.
Yimeng Zhang, Yingying Zhuang, Ziyi Wang et al.· arXiv.org· 0 citations
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