9 citations · 9 across the 2 of their papers we have counts for
3 papers
cs.CL2024
Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience
Haixia Han, Tingyun Li, Shisong Chen +5
Large Language Models (LLMs) have exhibited remarkable performance across various downstream tasks, but they may generate inaccurate or false information with a confident tone. One…
cs.CV2023★ 9 cited
DragNUWA: Fine-grained Control in Video Generation by Integrating Text, Image, and Trajectory
Shengming Yin, Chenfei Wu, Jian Liang +4
Controllable video generation has gained significant attention in recent years. However, two main limitations persist: Firstly, most existing works focus on either text, image, or…
cs.CL2021
Repairing Adversarial Texts through Perturbation
Guoliang Dong, Jingyi Wang, Jun Sun +5
It is known that neural networks are subject to attacks through adversarial perturbations, i.e., inputs which are maliciously crafted through perturbations to induce wrong predicti…