Michael J. Witbrock — accepted AI-conference papers

2025

A Survey of Pun Generation: Datasets, Evaluations and Methodologies

Yuchen Su, Yonghua Zhu, Ruofan Wang, Zijian Huang, Diana Benavides-Prado, Michael J. Witbrock

EMNLP 2025

Pun generation seeks to creatively modify linguistic elements in text to produce humour or evoke double meanings. It also aims to preserve coherence and contextual appropriateness, making it useful in creative writing and entertainment across various media and contexts. This field has been widely st

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2025

Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm

Yang Chen, Menglin Zou, Jiaqi Zhang, Yitan Zhang, Junyi Yang, Gael Gendron +3

NeurIPS 2025poster

Inverse Reinforcement Learning (IRL) learns a reward function to explain expert demonstrations. Modern IRL methods often use the adversarial (minimax) formulation that alternates between reward and policy optimization, which often lead to {\em unstable} training. Recent non-adversarial IRL approach…

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