Grounded Dialog Models

Bachelor Thesis, Master Thesis

Recently, dialog systems have seen an increase in popularity that coincides with the increasing success of neural language generators. However, many problems in language generation persist, such as the presence of hallucinated outputs that contain incorrect or unverifiable claims. One way of alleviating this issue is grounding the outputs in relevant knowledge [1], for example document bases [2], structured knowledge bases [3] or images [4]. The area offers plenty of open questions on models, decoding algorithms and evaluation methods.