Add pipeline tag, improve summary with paper and code links

README.md

@@ -1,18 +1,21 @@
 ---
 base_model: meta-llama/Llama-3.2-1B
-library_name: peft
-license: cc-by-nc-sa-4.0
 datasets:
 - baartmar/nsm_dataset
 language:
 - en
+library_name: peft
+license: cc-by-nc-sa-4.0
+pipeline_tag: text-generation
 ---
 
 # Model Card for Model ID
 
 <!-- Provide a quick summary of what the model is/does. -->
 A fine-tuned LLM for paraphrasing word-meanings using the natural semantic primes.
+This model is introduced in the paper [Towards Universal Semantics With Large Language Models](https://huggingface.co/papers/2505.11764).
 
+Code: https://github.com/OSU-STARLAB/DeepNSM
 
 ## Model Details
 
@@ -40,7 +43,7 @@ A fine-tuned LLM for paraphrasing word-meanings using the natural semantic prime
 ### Direct Use
 
 <!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
-Colab Demo: https://colab.research.google.com/drive/1kWesMSQOgKOsXxONvZyinpdgh86gDBcy?usp=drive_link
+Colab Demo: https://colab.research.google.com/drive/1kWesMSQOgKOsXxONZyiinpdgh86gDBcy?usp=drive_link
 
 To use the DeepNSM model to generate an NSM paraphrase of a word-meaning, you should structure your prompts in the following format:
 ```