8 citations · 8 across the 5 of their papers we have counts for
5 papers
Dynamic Generation of Personalities with Large Language Models
Jianzhi Liu, Hexiang Gu, Tianyu Zheng +4
In the realm of mimicking human deliberation, large language models (LLMs) show promising performance, thereby amplifying the importance of this research area. Deliberation is infl…
AICL: Action In-Context Learning for Video Diffusion Model
Jianzhi Liu, Junchen Zhu, Lianli Gao +2
The open-domain video generation models are constrained by the scale of the training video datasets, and some less common actions still cannot be generated. Some researchers explor…
SSP: A Simple and Safe automatic Prompt engineering method towards realistic image synthesis on LVM
Weijin Cheng, Jianzhi Liu, Jiawen Deng +1
Recently, text-to-image (T2I) synthesis has undergone significant advancements, particularly with the emergence of Large Language Models (LLM) and their enhancement in Large Vision…
F3-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis
Sitong Su, Jianzhi Liu, Lianli Gao +1
Recently Text-to-Video (T2V) synthesis has undergone a breakthrough by training transformers or diffusion models on large-scale datasets. Nevertheless, inferring such large models…
ALF: Adaptive Label Finetuning for Scene Graph Generation
Qishen Chen, Jianzhi Liu, Xinyu Lyu +3
Scene Graph Generation (SGG) endeavors to predict the relationships between subjects and objects in a given image. Nevertheless, the long-tail distribution of relations often leads…