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20232026
most citedExploration vs. Fixation: Scaffolding Divergent and Convergent Thinking for Human-AI Co-Creation with Generative Models

1 citations · 1 across the 6 of their papers we have counts for

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cs.CY2026

Human-AI Co-Creativity: Advances, Opportunities, and Challenges

Adish Singla, Abhilasha Ravichander, Liwei Jiang +7

This survey article has grown out of the human-AI co-creativity workshop organized by the authors at the ICML 2026 conference. We organized this workshop as part of a community-bui…

cs.LG2026

ReNFT: Repairing Mode Collapse in Reward Post-Training via Internal Probability-Mass Recalibration

Yuchen Bao, Chao Wen, Haowei Wang +10

Reward post-training of diffusion generators inevitably concentrates probability mass on a few reward-favored modes, a mode collapse that erases within-prompt diversity. Existing m…