5 papers
Lookahead-R: Budget-Aware Tool Retrieval via Execution-Centric Planning
Zongze Wu, Yani Guo, Runnan Li
Tool retrieval is a critical bottleneck for LLM-based agents operating over large, heterogeneous API ecosystems. Existing approaches face an inherent trade-off: semantic retrievers…
PointEvent: Rethinking Event-based Tiny Object Detection via Serialized Motion Evidence Accumulation
Zongze Wu, Baofeng Jia, Weiqi Yan +4
Event cameras offer high temporal resolution and motion sensitivity for tiny UAV detection, yet distant targets generate sparse and fragmented events that are easily overwhelmed by…
ASUMOT: Motion-Consistency-Based Asynchronous UAV Detection and Tracking with Event Cameras
Baofeng Jia, Xiaoyu Chen, Jingyuan Zhang +4
Event cameras offer microsecond-level temporal resolution and high dynamic range for low-altitude UAV perception. However, long-range UAVs often produce sparse, fragmented, and noi…
GRETEL: A Goal-driven Retrieval and Execution-based Trial Framework for LLM Tool Selection Enhancing
Zongze Wu, Yani Guo, Churong Liang +1
Despite remarkable advances in Large Language Model capabilities, tool retrieval for agent-based systems remains fundamentally limited by reliance on semantic similarity, which fai…
COCO: Cognitive Operating System with Continuous Oversight for Multi-Agent Workflow Reliability
Churong Liang, Jinling Gan, Kairan Hong +3
A critical limitation in large-scale multi-agent systems is the cascading of errors. And without intermediate verification, downstream agents exacerbate upstream inaccuracies, resu…