Update README.md

README.md

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 QLoRA adapter for `google/gemma-4-31b-it`, fine-tuned for **End-to-End Relation Extraction** on a Romanian translation of SemEval-2010 Task 8 plus the original English data. Unlike the classification adapter, entity tags are not given: the model reads a plain sentence and generates both entities and the relation between them as a single structured output.
 
-This adapter accompanies the SYNASC 2026 paper *"Cross-lingual Relation Extraction with Large Language Models: Zero-Shot, Few-Shot, and Fine-Tuned Evaluation on Romanian"*.
+<!-- This adapter accompanies the SYNASC 2026 paper *"Cross-lingual Relation Extraction with Large Language Models: Zero-Shot, Few-Shot, and Fine-Tuned Evaluation on Romanian"*. -->
 
 ## Results (SemEval-2010 Task 8 test set)