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cs.AI2026
Conditional Generation of Creative Chess Puzzles with Diffusion Models
Aatu Selkee, Severi Rissanen, Xidong Feng +2
While modern language models demonstrate impressive generative capabilities, they often struggle with constrained, counter-intuitive creative tasks. To address this limitation, we…
cs.LG2026
Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
Jatan Shrestha, Santeri Heiskanen, Kari Hepola +3
Multi-objective optimization (MOO) arises in many real-world applications where trade-offs between competing objectives must be carefully balanced. In the offline setting, where on…