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Xiao-Xiao Li

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#artificial intelligence Preprint Sep 2026

Explore More, Drift Less: Outcome-Only Reinforcement Learning Can Suffice for Long-Horizon Interactive Agents

CANOPY (Coverage-ANchored On-PolicY RL), a minimalist protocol attacking both Signal starvation and policy drift, internalizes long-horizon capability directly into a small open model; the complete training stack is planned to be released at https://github.com/AlibabaResearch/SignalCoverageRL.

Li-Ming Pu, Xiao-Xiao Li, Yi-Fu Liu et al. · 0 citations

#artificial intelligence Preprint Aug 2026

APIFlow-Bench: Measuring Whether Agents Survive Long, Dependent API Workflows

APIFlow-Bench is introduced, a fully auditable benchmark for long-horizon, dependent REST-API workflows that decomposes performance into seven engineering capabilities and requires agents to produce answers supported by the actual call path.

Zelin Wan, Arash Nourian, Xiao-Xiao Li et al. · 1 citation