Pre-trained language models (LMs) store knowledge in their parameters and can generate informative responses when used conversational systems. However, LMs suffer from the problem of “hallucination:” they may plausible-looking statements that are irrelevant or factually incorrect. To address this problem, we propose a contrastive learning scheme, named MixCL. A novel mixed objective is proposed...

Although it has been something of a fetish for philosophers to distinguish between hallucination and illusion, the enduring problems for philosophy of perception that both phenomena present are not essentially different. Hallucination, in its pure philosophical form, is just another example of the philosopher’s penchant for considering extreme and extremely idealized cases in order to understan...

Most computer programs are brittle. They may have acceptable behavior for the range of applications that they are specified to work for, but they fail miserably for applications even slightly outside of that range. For example, a program may work well when its inputs are complete, but be unable to produce any sensible result if any of its inputs are missing or

Abstract. Facial hallucination is a technique that has emerged recently thanks to advances in deep learning. It can be used various tasks such as face recognition the wild, human identification, pedestrian re-identification, analysis, and so on. We propose wavelet-integrated trained model synthesize photorealistic images called SF-SRGAN. The multi-stage progressive strategy based on GAN archite...