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docs: paper accepted to ICML 2026

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@@ -20,7 +20,7 @@ pretty_name: R3-Bench
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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* (ICML 2026, under review).
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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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@@ -103,10 +103,9 @@ See the [code repo README](https://github.com/xiaomoguhz/R3-Bench) for full pipe
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  ## Citation
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  ```bibtex
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- @article{r3bench2026,
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  title={Benchmarking and Evolving Reason-Reflect-Rectify for Reflective Visual Generation},
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- author={Anonymous},
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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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  ```