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Jiayue Wu

2 accepted papers

2026

Beyond Accuracy: A Cognitive Load Framework for Mapping the Capability Boundaries of Tool-use Agents

AAAI 2026technical

The ability of Large Language Models (LLMs) to use ex ternal tools unlocks powerful real-world interactions, mak ing rigorous evaluation essential. However, current bench marks primarily report final accuracy, revealing what mod els can do but obscuring the cognitive bottlenecks that define their t

Cited by 0SourcePDFScholar
2019

Learning Safe Unlabeled Multi-Robot Planning with Motion Constraints

IROS 2019poster

In this paper, we present a learning approach to goal assignment and trajectory planning for unlabeled robots operating in 2D, obstacle-filled workspaces. More specifically, we tackle the unlabeled multi-robot motion planning problem with motion constraints as a multi-agent reinforcement learning pr…

Cited by 41SourceScholar