Link the RCPS paper in the ACL Anthology

README.md

@@ -3,6 +3,6 @@
 On Hugging Face:
 
 - **[WigtnOCR-2B](https://huggingface.co/Wigtn/Qwen3-VL-2B-WigtnOCR)**: a 2B document parser for Korean government documents and English papers, distilled from Qwen3-VL-30B into Qwen3-VL-2B with LoRA. It matches or beats its teacher on 3 of 5 OmniDocBench metrics. Training and evaluation code: [wigtnOCR-v1](https://github.com/wigtn/wigtnOCR-v1).
-- **[KoGovDoc-Bench](https://huggingface.co/datasets/Wigtn/KoGovDoc-Bench)**: the 294 validation pages WigtnOCR-2B was evaluated on. The RCPS paper (EMNLP 2026 Industry Track) builds its 663 question–answer probe on the same pages.
+- **[KoGovDoc-Bench](https://huggingface.co/datasets/Wigtn/KoGovDoc-Bench)**: the 294 validation pages WigtnOCR-2B was evaluated on. The [RCPS paper](https://aclanthology.org/2026.emnlp-industry.90/) (EMNLP 2026 Industry Track) builds its 663 question–answer probe on the same pages.
 
 [wigtn.com](https://wigtn.com) · [GitHub](https://github.com/wigtn) · [WIGTN Tech](https://tech.wigtn.com) · [contact@wigtn.com](mailto:contact@wigtn.com)