docs: paper accepted to ICML 2026
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README.md
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# R3-Bench: Reason-Reflect-Rectify Benchmark
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**Code**: [github.com/xiaomoguhz/R3-Bench](https://github.com/xiaomoguhz/R3-Bench)
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**Paper**: *Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generation*
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R³-Bench evaluates **reflective visual generation**: given a generated image and the original prompt, a model must (i) reason about whether the image matches the prompt, (ii) explain any discrepancy, and (iii) propose a rectification action. The benchmark measures two complementary scores:
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## Citation
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```bibtex
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@
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title={Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generation},
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journal={ICML (under review)},
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year={2026}
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}
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```
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# R3-Bench: Reason-Reflect-Rectify Benchmark
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**Code**: [github.com/xiaomoguhz/R3-Bench](https://github.com/xiaomoguhz/R3-Bench)
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**Paper**: *Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generation* — accepted to ICML 2026.
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R³-Bench evaluates **reflective visual generation**: given a generated image and the original prompt, a model must (i) reason about whether the image matches the prompt, (ii) explain any discrepancy, and (iii) propose a rectification action. The benchmark measures two complementary scores:
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## Citation
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```bibtex
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@inproceedings{r3bench2026,
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title={Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generation},
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booktitle={Proceedings of the International Conference on Machine Learning (ICML)},
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year={2026}
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}
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```
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