generative

Definition

Describes models that learn a distribution over data and can sample new instances from it, as opposed to discriminative models that only map inputs to labels. Autoregressive language models, diffusion models, GANs, and flow-based models are all generative despite very different mechanics. The trade-off is classic: generative models are harder to train and evaluate, but far more flexible about what you can condition on.

Explainers using this term

• Paper Explained: Can MiniMax-H3 Reason About the Physical World? Testing an Omni-Modal Generator on What the Prompt Leaves OutCan MiniMax-H3 Reason About the Physical World? An Evaluation of Omni-Modal Generative Model
• Paper Explained: Beyond Solver Verdicts — When the Solver Says Yes but the Translation Is WrongBeyond Solver Verdicts: Generative Reward Models for Autoformalization
• Paper Walkthrough: It Takes Two to Match — Co-Evolving Both Sides of Retrieval with RLIt Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning