Jipeng Zhang

MLLM-Protector: Ensuring MLLM's Safety without Hurting Performance

2024 · arXiv (Cornell University)

The deployment of multimodal large language models (MLLMs) has brought forth a unique vulnerability: susceptibility to malicious attacks through visual inputs. This paper investigates the novel challenge of defending MLLMs against such attacks. Compared to …

Template-Based Math Word Problem Solvers with Recursive Neural Networks

2019 · Proceedings of the AAAI Conference on Artificial Intelligence

The design of automatic solvers to arithmetic math word problems has attracted considerable attention in recent years and a large number of datasets and methods have been published. Among them, Math23K is the largest data …

Graph-to-Tree Learning for Solving Math Word Problems

2020

While the recent tree-based neural models have demonstrated promising results in generating solution expression for the math word problem (MWP), most of these models do not capture the relationships and order information among the quantities …