Papers with multimodal generative large language models
FairCoT: Enhancing Fairness in Text-to-Image Generation via Chain of Thought Reasoning with Multimodal Large Language Models (2025.findings-emnlp)
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| Challenge: | FairCoT enhances fairness in text-to-image generative models by integrating iterative reasoning . experimental evaluations demonstrate FairCot significantly enhances diversity without sacrificing image quality or semantic fidelity. |
| Approach: | FairCoT is a framework that enhances fairness in text-to-image generative models . it employs iterative CoT refinement to mitigate biases and dynamically adjusts textual prompts . |
| Outcome: | FairCoT combines iterative CoT refinement with iterating reasoning processes . it addresses limitations of zero-shot CoT in sensitive scenarios, authors say . |