2 citations · 5 across the 10 of their papers we have counts for
5 papers · 1 filter
LLM-Driven Self-Refinement for Embodied Drone Task Planning
Deyu Zhang, Xicheng Zhang, Jiahao Li +6
We introduce SRDrone, a novel system designed for self-refinement task planning in industrial-grade embodied drones. SRDrone incorporates two key technical contributions: First, it…
Prompt-aware of Frame Sampling for Efficient Text-Video Retrieval
Deyu Zhang, Tingting Long, Jinrui Zhang +3
Enabling efficient text-video retrieval on edge-end devices is critical for real-world applications. Yet, existing methods face a critical challenge in balancing accuracy and compu…
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning
Ziqing Qiao, Yongheng Deng, Jiali Zeng +7
Large Reasoning Models (LRMs) perform strongly in complex reasoning tasks via Chain-of-Thought (CoT) prompting, but often suffer from verbose outputs, increasing computational over…
LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning
Tuowei Wang, Xingyu Chen, Kun Li +3
The escalating demand for long-context applications has intensified the necessity of extending the LLM context windows. Despite recent fine-tuning approaches successfully expanding…
Enabling Cardiac Monitoring using In-ear Ballistocardiogram on COTS Wireless Earbuds
Yongjian Fu, Ke Sun, Ruyao Wang +4
The human ear offers a unique opportunity for cardiac monitoring due to its physiological and practical advantages. However, existing earable solutions require additional hardware…