Statistical attribute alignment for black-box generative AI via output post-processing

arXiv:2609.31607 · stat.ME, cs.AI, cs.LG, math.ST, stat.TH · Submitted 2026-09-25 · Read on arXiv

stat.ME, cs.AI, cs.LG, math.ST, stat.TH

Submitted: 2026-09-25

Updated: 2026-09-25

Code: https://github.com/deepinsight/insightface

Terminology

• Alignment — 61× in this paper · explained in 1 episode
• Generative Model — 19× in this paper · explained in 2 episodes
• Data Augmentation — 13× in this paper · explained in 7 episodes
• Diffusion Model — 12× in this paper · explained in 8 episodes
• Generative AI — 12× in this paper · explained in 2 episodes
• Diffusion Models — 10× in this paper · explained in 6 episodes
• Generative Models — 10× in this paper · explained in 2 episodes
• Generative Modeling — 7× in this paper · explained in 3 episodes
• Random Demand Coupon Collector — 7× in this paper
• Trace — 7× in this paper · explained in 2 episodes
• Synthetic Data Generation — 5× in this paper · explained in 5 episodes
• Accountability — 4× in this paper · explained in 2 episodes
• Benchmark — 4× in this paper · explained in 2 episodes
• Fine-Tuning — 4× in this paper · explained in 5 episodes
• Social Vulnerability Index — 4× in this paper
• Embeddings — 3× in this paper · explained in 2 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Adam — 2× in this paper · explained in 2 episodes
• Admissibility — 2× in this paper · explained in 2 episodes
• Foundation Model — 2× in this paper · explained in 3 episodes
• Randomized-mass RDC — 2× in this paper
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• AI Agents — 1× in this paper · explained in 2 episodes
• AI Alignment — 1× in this paper · explained in 2 episodes
• Adversarial Training — 1× in this paper · explained in 1 episode
• Algorithmic Bias — 1× in this paper · explained in 1 episode
• Alignment Methods — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Fidelity — 1× in this paper · explained in 2 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Latent Diffusion Model — 1× in this paper · explained in 2 episodes
• Latent Diffusion Models — 1× in this paper · explained in 2 episodes
• Latent Representation — 1× in this paper · explained in 2 episodes
• Latent Representations — 1× in this paper · explained in 3 episodes
• Model-Agnostic — 1× in this paper · explained in 2 episodes
• Prompt Engineering — 1× in this paper · explained in 4 episodes
• Query Complexity — 1× in this paper · explained in 2 episodes
• Representation Learning — 1× in this paper · explained in 2 episodes
• Sample Complexity — 1× in this paper · explained in 15 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Structured Prompting — 1× in this paper · explained in 2 episodes
• Targeted Sampling Instruction — 1× in this paper
• Transfer Learning — 1× in this paper · explained in 10 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• Harnessing Synthetic Data from Generative AI for Statistical Inference
• Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
• Constitutional AI: Harmlessness from AI Feedback
• General Synthetic-Powered Inference
• On the Opportunities and Risks of Foundation Models
• DiffusionWorldViewer: Exposing and Broadening the Worldview Reflected by Generative Text-to-Image Models
• Fair Diffusion: Instructing Text-to-Image Generation Models on Fairness
• On the Partition Function and Random Maximum A-Posteriori Perturbations
• AI Alignment: A Comprehensive Survey
• CTRL: A Conditional Transformer Language Model for Controllable Generation
• A Distributional Approach to Controlled Text Generation
• Automatic Interactive Evaluation for Large Language Models with State Aware Patient Simulator
• Machine Learning for Synthetic Data Generation: A Review
• Artificial Intelligence Index Report 2025
• Hierarchical Text-Conditional Image Generation with CLIP Latents
• AI Agents for Conversational Patient Triage: Preliminary Simulation-Based Evaluation with Real-World EHR Data
• Augmenting medical image classifiers with synthetic data from latent diffusion models
• Finetuning Text-to-Image Diffusion Models for Fairness
• Can Prompt Modifiers Control Bias? A Comparative Analysis of Text-to-Image Generative Models
• Qwen-Image Technical Report

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