Currently working on a survey in the area of #AI4SE, I am seriously considering a "hall of shame" of the worst papers we found. It's truly unbelievable what kind of rubbish is published at some venues. The recipe seems: Take some random input representation, apply some random embedding, use some randomly chosen classifier, if you feel fancy use an attention mechanism (but don't say which one, let alone why), pick some subset of some badly biased data set, report success! Nothing can be learned from such work! Really, nothing. It's so disappointing.