Update README.md

README.md

@@ -1,6 +1,6 @@
 # OpenRubrics/RubricRM-4B-Judge
 
-Finetuned checkpoint for rubric-based reward modeling / judging.
+This is a 4B RubricRM-4B-Judge model, finetuned from [Qwen3/Qwen3-4B](https://huggingface.co/Qwen/Qwen3-4B).
 
 ## Usage
 ```python
@@ -10,7 +10,17 @@ tok = AutoTokenizer.from_pretrained(model_id, use_fast=True)
 model = AutoModelForCausalLM.from_pretrained(model_id, torch_dtype="auto")
 ```
 
-## Notes
-- Format: Transformers-compatible (config/tokenizer/weights).
-- Base: Qwen3 4B (Rubric-Aware Judge).
-- Files tracked with Git LFS.
+
+If you find our work helpful, please consider citing our paper:
+
+```
+@misc{liu2025openrubricsscalablesyntheticrubric,
+      title={OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment}, 
+      author={Tianci Liu and Ran Xu and Tony Yu and Ilgee Hong and Carl Yang and Tuo Zhao and Haoyu Wang},
+      year={2025},
+      eprint={2510.07743},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2510.07743}, 
+}
+```