- Transformer-based hierarchical attention models for solving analogy puzzles between longer, lexically richer and semantically more diverse sentences (Benming Yan, Haotong Wang, Liyan Wang, Yifei Zhou, Yves Lepage)
- Learning Analogies between Classes to Create Counterfactual Explanations (Xiaomeng Ye, David Leake, Yu Wang, Ziwei Zhao, David Crandall)
- Enhancing Analogical Reasoning in the Abstraction and Reasoning Corpus via Model-Based RL (Jihwan Lee, Woochang Sim, Sejin Kim, Sundong Kim)
- Towards a unified framework of numerical analogies: Open questions and perspectives (Yves Lepage, Miguel Couceiro)
- Testing proportional sentence analogies on SATS: from vector offsets to conditional generation (Yves Blain-Montesano, Philippe Langlais)
- Probing Large Language Models to Perform Analogical Transformation (François Olivier, Miguel Couceiro, Zied Bouraoui)
