Cite the IBERAMIA 2026 paper

README.md

@@ -28,8 +28,9 @@ configs:
 **1,695 human-annotated premise–hypothesis pairs** spanning 24 domains and 8 genres, built as the
 evaluation set for active-learning experiments on the ESNLIR corpus.
 
-> **Active Learning for Spanish Natural Language Inference**
+> **Active Learning for Spanish Natural Language Inference on a Heterogeneous Multi-Domain Corpus**
 > Diego Ortiz, Johan R. Portela, Ruben Manrique — Universidad de los Andes, Bogotá
+> *Advances in Artificial Intelligence — IBERAMIA 2026* (to appear)
 
 Code: [`jd-rodriguezp1234/esnlir-active-learning`](https://github.com/jd-rodriguezp1234/esnlir-active-learning) ·
 Corpus: [`Flaglab/ESNLIR-dataset`](https://huggingface.co/datasets/Flaglab/ESNLIR-dataset)
@@ -169,11 +170,15 @@ print(ds[0]["sentence_1"], "|", ds[0]["connection_type"])
 ## Citation
 
 ```bibtex
-@misc{ortiz_esnlir_active_learning,
-  author = {Ortiz, Diego and Portela, Johan R. and Manrique, Ruben},
-  title  = {Active Learning for Spanish Natural Language Inference},
-  school = {Universidad de los Andes, Bogot{\'a}, Colombia},
-  year   = {2026},
+@InProceedings{ortiz2026activelearningspanishnli,
+  author    = {Ortiz, Diego and Portela, Johan R. and Manrique, Ruben},
+  title     = {Active Learning for Spanish Natural Language Inference
+               on a Heterogeneous Multi-Domain Corpus},
+  booktitle = {Advances in Artificial Intelligence -- IBERAMIA 2026},
+  year      = {2026},
+  publisher = {Springer Nature Switzerland},
+  address   = {Cham},
+  note      = {To appear},
 }
 ```