IMPLICIT-Bench: Measuring Implicit Bias in Text-to-Image Models under Neutral Prompts

arXiv:2609.24228 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

Code: https://github.com/ydai94/IMPLICITBench

Terminology

• Benchmark — 73× in this paper · explained in 2 episodes
• Steering — 41× in this paper · explained in 2 episodes
• Alignment — 34× in this paper · explained in 1 episode
• Fidelity — 9× in this paper · explained in 2 episodes
• Accuracy — 6× in this paper · explained in 1 episode
• Knowledge Graph — 6× in this paper · explained in 7 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• Verifier — 4× in this paper · explained in 2 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Lexical Diversity — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Diffusion Model — 2× in this paper · explained in 8 episodes
• Diffusion Models — 2× in this paper · explained in 6 episodes
• Generative Model — 2× in this paper · explained in 2 episodes
• Generative Models — 2× in this paper · explained in 2 episodes
• Verification — 2× in this paper · explained in 2 episodes
• Ablation — 1× in this paper · explained in 1 episode
• Accountability — 1× in this paper · explained in 2 episodes
• Activation Steering — 1× in this paper · explained in 4 episodes
• Actor — 1× in this paper · explained in 3 episodes
• Benchmarking — 1× in this paper · explained in 4 episodes
• Core — 1× in this paper · explained in 2 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• Knowledge graphs — 1× in this paper · explained in 2 episodes
• LLM judge — 1× in this paper · explained in 2 episodes
• Rectified Flow — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Systematic Bias — 1× in this paper · explained in 3 episodes

Sources

• Qwen3-VL Technical Report
• FAIntbench: A Holistic and Precise Benchmark for Bias Evaluation in Text-to-Image Models
• BIGbench: A Unified Benchmark for Evaluating Multi-dimensional Social Biases in Text-to-Image Models
• GPT-IMAGE-EDIT-1.5M: A Million-Scale, GPT-Generated Image Dataset
• Qwen-Image Technical Report
• InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

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