Our team competed in the SemEval-2026 Task1: MWAHAHA: Humor Generation. This isa task for generation of computational humor.The generated jokes are text-based, but alsoinclude memes, for captioning an image. Ourapproach involved prompt engineering using avoting system. We obtained rank 1 in one ofthe subtasks, and rank 2 in three other subtasks.

This paper presents Wild Devs’ participation in the SemEval-2017 Task 2 “Multi-lingual and Cross-lingual Semantic Word Similarity”, which tries to automatically measure the semantic similarity between two words. The system was build using neural networks, having as input a collection of word pairs, whereas the output consists of a list of scores, from 0 to 4, corresponding to the degree of similarity between the word pairs.