5 papers
Profile-DP: Differential Privacy for User-Controlled Profile Release in Personalized LLM Inference
Mingchen Li, Zifan Peng, Kewei Sha +5
Personalized large language models (LLMs) increasingly rely on profile-conditioned inference, pairing public requests with rich, user-specific facts. This paradigm exposes the user…
Electromagnetic Field of an Oscillating Point Charge Measured by a Transversely Comoving Observer
Ruben Canora, Shengwang Du
We investigate the electromagnetic field produced by a harmonically oscillating point charge and measured by a spatially separated observer undergoing the same motion. We evaluate…
AlignQuant: Tile-Aligned Mixed-Precision Quantization for Efficient LLM Generation
Hanzhi Zhang, Qiao Zhang, Qinglei Cao +4
Fine-grained mixed-precision quantization promises efficient large language model inference, but local precision choices can conflict with regular GPU storage and computation units…
RGBD20K: A Large-Scale Benchmark for RGB-D Semantic Segmentation
Shaohua Dong, Zexuan Meng, Haiyan Sun +6
In this paper, we propose RGBD20K, a novel dataset for facilitating the development of more robust and general RGB-D semantic segmentation by encompassing abundant categories and h…
LD-RSVIS: A Large-Scale and Diverse Benchmark for Referring Surgical Video Instrument Segmentation
Zan Wang, Yunhe Feng, Dong Nie +4
Referring surgical video instrument segmentation (RSVIS) aims at segmenting the instrument in a surgical video, given a textual description. Despite recent progress, current models…