Author

Katherine Tieu

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#artificial intelligence Preprint Sep 2026

Inference-Time Graph Engineering for Multi-Agent LLM Workflows

This work synthesizes a task-conditioned temporal workflow graph that jointly specifies agent connectivity and edge-level communication semantics, and introduces ReActNet, a training-free framework that compiles a query and a set of role-specialized agents into a sequence of directed communication graphs.

Katherine Tieu, Dong-Qi Fu, Ying-Long Xia et al. · 1 citation · ⚡1

#artificial intelligence Preprint Aug 2026

From Inference to Adaptation: A Unified Optimal Transport View of Vision Language Model

This work proposes a principled VLM TTA method called \algname, and theoretically reveals that the InfoNCE loss can be neatly reformulated as a Wasserstein OT formulation, thereby unifying the objectives of the inference and adaptation of VLMs to achieve their mutual benefits.

Qi Yu, Zhichen Zeng, Katherine Tieu et al. · 0 citations