Update README.md

README.md

@@ -3,9 +3,12 @@ license: apache-2.0
 task_categories:
 - text-generation
 tags:
-- mathematics
 - reasoning
 - latent-thoughts
+- latent-variable-models
+- expectation-maximization
+- self-improvement
+- mathematics
 dataset_info:
 - config_name: finemath_4plus_final_2b_separated_bootstrap_split
   features:
@@ -280,4 +283,4 @@ configs:
     path: finetune_math/validation-*
 ---
 
-This dataset is associated with the paper [Reasoning to Learn from Latent Thoughts](https://huggingface.co/papers/2503.18866). It contains data used for pretraining language models with a focus on improving data efficiency by modeling and inferring latent thoughts underlying the text generation process, particularly in mathematical reasoning tasks.
+This dataset is associated with the paper [Reasoning to Learn from Latent Thoughts](https://huggingface.co/papers/2503.18866). It contains data used for pretraining language models with a focus on improving data efficiency by modeling and inferring latent thoughts underlying the text generation process, such as on reasoning-intensive math corpus. An expectation-maximization algorithm is developed for models to self-improve their self-generated thoughts and data efficiency.