8 accepted papers
The rapid growth of large language models (LLMs) has heightened the importance of post-training quantization (PTQ) for reducing memory and computation costs. Among PTQ methods, GPTQ has gained significant attention for its efficiency, enabling billion-scale LLMs to be quantized within a few GPU hour…
Post-training quantization (PTQ) is a promising solution for deploying large language models (LLMs) on resource-constrained devices. Early methods developed for small-scale networks, such as ResNet, rely on gradient-based optimization, which becomes impractical for hyper-scale LLMs with billions of…
This study focuses on the robotic capability of ungrasping, or releasing, an object in a grasp from the gripper to the robot's environment. The presented technique enables the delicate release of a grasped object using non-static contacts, allowing for rolling and/or sliding. This dexterous manipula
This study investigates the dynamic self-righting behavior of planar-based rigid objects supported at two contact points under the influence of gravity. The underlying mechanism of self-righting is elucidated through a six-dimensional curvature analysis in the configuration space. In addition, we di
With the increasing complexity of generative AI models, post-training quantization (PTQ) has emerged as a promising solution for deploying hyper-scale models on edge devices such as mobile and TVs. Existing PTQ schemes, however, consume considerable time and resources, which could be a bottleneck in…
The more new features that are being added to smartphones, the harder it becomes for users to find them. This is because the feature names are usually short and there are just too many of them for the users to remember the exact words. The users are more comfortable asking contextual queries that d…
Logical reasoning tasks over symbols, such as learning arithmetic operations and computer program evaluations, have become challenges to deep learning. In particular, even state-of-the-art neural networks fail to achieve textit{out-of-distribution} (OOD) generalization of symbolic reasoning tasks, w…
Many manipulation tasks require coordinated motions for arm and fingers. Complexity increases when the task requires to control for the force at contact against a non-flat surface; This becomes even more challenging when this contact is done on a human. All these challenges are regrouped when one, f…