diff --git a/README.md b/README.md
index 5e542f4..ed59d6f 100644
--- a/README.md
+++ b/README.md
@@ -216,12 +216,13 @@ lang_result_ci = summary["mean_per_language/en/f1_macro/ci_margin"]
 
 
 ### Models
-| Model Name | Description | Fixed Classifier |
+| Model Name | Description | Adaptive Targets |
 | --- | --- | --- |
-| BiEncoderModel | BiEncoder model using sentence-transformers for ranking and classification tasks. | ❌ |
-| JobBERTModel | Job-Normalization BiEncoder from Techwolf: https://huggingface.co/TechWolf/JobBERT-v2 | ❌ |
-| RndESCOClassificationModel | Random baseline for multi-label classification with random prediction head for ESCO. | ✅ |
-
+| BiEncoderModel | BiEncoder model using sentence-transformers for ranking and classification tasks. | ✅ |
+| JobBERTModel | Job-Normalization BiEncoder from Techwolf: https://huggingface.co/TechWolf/JobBERT-v2 | ✅ |
+| ConTeXTMatchModel | ConTeXT-Skill-Extraction-base from Techwolf: https://huggingface.co/TechWolf/ConTeXT-Skill-Extraction-base | ✅ |
+| CurriculumMatchModel | CurriculumMatch bi-encoder from Aleksandruz: https://huggingface.co/Aleksandruz/skillmatch-mpnet-curriculum-retriever | ✅ |
+| RndESCOClassificationModel | Random baseline for multi-label classification with random prediction head for ESCO. | ❌ |
 
 
 ## Contributing
diff --git a/examples/list_available_tasks_and_models.py b/examples/list_available_tasks_and_models.py
index 904b7c7..6a2de32 100644
--- a/examples/list_available_tasks_and_models.py
+++ b/examples/list_available_tasks_and_models.py
@@ -55,7 +55,7 @@ def get_model_properties(model_class: type, registry_name: str, load_full: bool)
     if load_full:
         model = ModelRegistry.create(registry_name)
         props["Model Name"] = model.name
-        props["Fixed Classifier"] = "✅" if model.classification_label_space is not None else "❌"
+        props["Adaptive Targets"] = "✅" if model.classification_label_space is None else "❌"
         props["Description"] = model.description
 
     return props
@@ -167,7 +167,7 @@ def format_markdown(df: pd.DataFrame) -> str:
 
     # Models
     model_cols = (
-        ["Class Name", "Description", "Fixed Classifier"]
+        ["Class Name", "Description", "Adaptive Targets"]
         if load_models
         else ["Class Name", "Description"]
     )
diff --git a/src/workrb/models/__init__.py b/src/workrb/models/__init__.py
index ddd92e8..00cd8ac 100644
--- a/src/workrb/models/__init__.py
+++ b/src/workrb/models/__init__.py
@@ -5,10 +5,12 @@
 from workrb.models.base import ModelInterface
 from workrb.models.bi_encoder import BiEncoderModel, ConTeXTMatchModel, JobBERTModel
 from workrb.models.classification_model import RndESCOClassificationModel
+from workrb.models.curriculum_encoder import CurriculumMatchModel
 
 __all__ = [
     "BiEncoderModel",
     "ConTeXTMatchModel",
+    "CurriculumMatchModel",
     "JobBERTModel",
     "ModelInterface",
     "RndESCOClassificationModel",