2 papers
cs.LG2026
Learning Task-Agnostic Motifs to Capture the Continuous Nature of Animal Behavior
Jiyi Wang, Jingyang Ke, Bo Dai +1
Animals flexibly recombine a finite set of core motor motifs to meet diverse task demands, but existing behavior segmentation methods oversimplify this process by imposing discrete…
cs.CL2025
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human
Shuo Huang, William MacLean, Xiaoxi Kang +5
The widespread use of cloud-based Large Language Models (LLMs) has heightened concerns over user privacy, as sensitive information may be inadvertently exposed during interactions…