most citedDetecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score

4 citations · 8 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV20241 cited

Lookahead Exploration with Neural Radiance Representation for Continuous Vision-Language Navigation

Zihan Wang, Xiangyang Li, Jiahao Yang +4

Vision-and-language navigation (VLN) enables the agent to navigate to a remote location following the natural language instruction in 3D environments. At each navigation step, the…

cs.CL20241 cited

Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy

Shuhai Zhang, Yiliao Song, Jiahao Yang +3

Large language models (LLMs) such as ChatGPT have exhibited remarkable performance in generating human-like texts. However, machine-generated texts (MGTs) may carry critical risks,…

cs.CV2023

GridMM: Grid Memory Map for Vision-and-Language Navigation

Zihan Wang, Xiangyang Li, Jiahao Yang +2

Vision-and-language navigation (VLN) enables the agent to navigate to a remote location following the natural language instruction in 3D environments. To represent the previously v…

cs.LG20234 cited

Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score

Shuhai Zhang, Feng Liu, Jiahao Yang +4

Adversarial detection aims to determine whether a given sample is an adversarial one based on the discrepancy between natural and adversarial distributions. Unfortunately, estimati…

cs.CV20233 cited

KERM: Knowledge Enhanced Reasoning for Vision-and-Language Navigation

Xiangyang Li, Zihan Wang, Jiahao Yang +2

Vision-and-language navigation (VLN) is the task to enable an embodied agent to navigate to a remote location following the natural language instruction in real scenes. Most of the…