5 citations · 6 across the 4 of their papers we have counts for
4 papers
LCTG Bench: LLM Controlled Text Generation Benchmark
Kentaro Kurihara, Masato Mita, Peinan Zhang +3
The rise of large language models (LLMs) has led to more diverse and higher-quality machine-generated text. However, their high expressive power makes it difficult to control outpu…
PBDyG: Position Based Dynamic Gaussians for Motion-Aware Clothed Human Avatars
Shota Sasaki, Jane Wu, Ko Nishino
This paper introduces a novel clothed human model that can be learned from multiview RGB videos, with a particular emphasis on recovering physically accurate body and cloth movemen…
LLM-jp: A Cross-organizational Project for the Research and Development of Fully Open Japanese LLMs
LLM-jp, :, Akiko Aizawa +80
This paper introduces LLM-jp, a cross-organizational project for the research and development of Japanese large language models (LLMs). LLM-jp aims to develop open-source and stron…
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices
Hwichan Kim, Shota Sasaki, Sho Hoshino +1
Low-Rank Adaptation (LoRA) is a widely used Parameter-Efficient Fine-Tuning (PEFT) method that updates an initial weight matrix with a delta matrix consisted by two low-…