humor-generation

This paper presents a system for constrained humor generation that uses a generate-many select-best strategy with a preference model learned from human comparisons. It achieved top ranks in English and Chinese subtasks and second in Spanish at SemEval-2026 Task 1.

HumorRank introduces a tournament-based leaderboard using pairwise evaluations and Bradley-Terry MLE to rank LLMs on humor generation, showing humor quality depends on comedic mastery rather than scale.