3 accepted papers
Traditional post-training quantization (PTQ) is considered an effective approach to reduce model size and accelerate inference of large-scale language models (LLMs). However, existing low-rank PTQ methods require costly fine-tuning to determine a compromise rank for diverse data and layers in large
Early detection of fake news is crucial to mitigate its negative impact. Current research in fake news detection often utilizes the difference between real and fake news regarding the support degree from reliable sources. However, it has overlooked their different semantic outlier degrees among unre…
This paper proposes two methods for collision detection between cylindrical components when mutual blocking occurs in the view of cameras. In reconstruction approach, 3D models are built according to key features captured by cameras and constraint optimization is employed to rapidly find possible in…