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cs.AI2026
TOBench: A Task-Oriented Omni-Modal Benchmark for Real-World Tool-Using Agents
Zhiqiang Liu, Wenhui Dong, Yilang Tan +3
Tool-using agents are increasingly expected to operate across realistic professional workflows, where they must interpret multimodal inputs, coordinate external tools, inspect inte…
cs.AI2026
SensingAgents: A Multi-Agent Collaborative Framework for Robust IMU Activity Recognition
Naiyu Zheng, Tianlong Yu, Haochen Yin +3
Human Activity Recognition (HAR) using Inertial Measurement Unit (IMU) sensors is a cornerstone of mobile health, smart environments, and human-computer interaction. However, curre…