Author

Lin-Na Wu

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#artificial intelligence Preprint Sep 2026

CoEvoke: Evoking Multi-Agent Collaboration for Trajectory Collection

CoEvoke is introduced, a cross-domain framework that evokes public interactions to evidence, decisions, and task-native outcomes during trajectory collection that supports designing collection conditions to obtain corrective supervision that improves collaborative decisions with frozen solving agents.

Lin-Na Wu, Shun-Yu Yao, Yu-Heng Wang et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Collaborative Learning and Reasoning over Model Slices

Large language models (LLMs) excel across diverse tasks, benefiting from knowledge priors, in-context reasoning, and test-time computation. Despite these strengths, single-model reasoning remains vulnerable to error propagation, as later steps depend on the model's earlier outputs, leaving reasoning blind spots difficu...

Yu-Heng Wang, Run-De Yang, Zhu-Han Bao et al. · 0 citations