5 papers
SplitQuantV2: Enhancing Low-Bit Quantization of LLMs Without GPUs
Jaewoo Song, Fangzhen Lin
The quantization of large language models (LLMs) is crucial for deploying them on devices with limited computational resources. While advanced quantization algorithms offer improve…
SplitQuant: Layer Splitting for Low-Bit Neural Network Quantization
Jaewoo Song, Fangzhen Lin
Quantization for deep neural networks (DNNs) is the process of mapping the parameter values of DNNs from original data types to other data types of lower precision to reduce model…
Benchmarking Vision, Language, & Action Models on Robotic Learning Tasks
Pranav Guruprasad, Harshvardhan Sikka, Jaewoo Song +2
Vision-language-action (VLA) models represent a promising direction for developing general-purpose robotic systems, demonstrating the ability to combine visual understanding, langu…
Identifying Root Causes of Null Pointer Exceptions with Logical Inferences
Jindae Kim, Jaewoo Song
Recently, Large Language Model (LLM)-based Fault Localization (FL) techniques have been proposed, and showed improved performance with explanations on FL results. However, a major…
You Have Thirteen Hours in Which to Solve the Labyrinth: Enhancing AI Game Masters with Function Calling
Jaewoo Song, Andrew Zhu, Chris Callison-Burch
Developing a consistent and reliable AI game master for text-based games is a challenging task due to the limitations of large language models (LLMs) and the complexity of the game…