Add pipeline tag and library name

README.md

@@ -1,15 +1,20 @@
 ---
+base_model:
+- EuroBERT/EuroBERT-210m
 datasets:
 - hgissbkh/BERTJudge-Dataset
 language:
 - en
-base_model:
-- EuroBERT/EuroBERT-210m
+library_name: transformers
+pipeline_tag: text-classification
 ---
+
 # BERTJudge
 
 BERT-as-a-Judge is a family of encoder-based models designed for efficient, reference-based evaluation of LLM outputs. Moving beyond rigid lexical extraction and matching, these models evaluate semantic correctness, accommodating variations in phrasing and formatting while using only a fraction of the computational resources required by LLM-as-a-Judge approaches.
 
+This model was introduced in the paper [BERT-as-a-Judge: A Robust Alternative to Lexical Methods for Efficient Reference-Based LLM Evaluation](https://huggingface.co/papers/2604.09497).
+
 ## Model Summary
 - **Paper:** [BERT-as-a-Judge: A Robust Alternative to Lexical Methods for Efficient Reference-Based LLM Evaluation](https://arxiv.org/abs/2604.09497)
 - **Code:** [https://github.com/artefactory/BERT-as-a-Judge](https://github.com/artefactory/BERT-as-a-Judge)
@@ -88,7 +93,7 @@ If you find this model useful for your research, please consider citing:
 ```
 @article{gisserotboukhlef2026bertasajudgerobustalternativelexical,
   title={BERT-as-a-Judge: A Robust Alternative to Lexical Methods for Efficient Reference-Based LLM Evaluation},
-  author={Gisserot-Boukhlef, Hippolyte and Boizard, Nicolas and Malherbe, Emmanuel and Hudelot, C{\'e}line and Colombo, Pierre},
+  author={Gisserot-Boukhlef, Hippolyte and Boizard, Nicolas and Malherbe, Emmanuel and Hudelot, C{\\'e}line and Colombo, Pierre},
   year={2026},
   eprint={2604.09497},
   archivePrefix={arXiv},