Add PEFT metadata and link to research paper

README.md

@@ -1,28 +1,34 @@
 ---
-license: llama3.1
+base_model:
+- meta-llama/Llama-3.1-8B-Instruct
 datasets:
 - infosense/frameref
 language:
 - en
-base_model:
-- meta-llama/Llama-3.1-8B-Instruct
+license: llama3.1
+library_name: peft
+pipeline_tag: text-generation
 ---
 
+# FrameRef Persona Adapters
 
-## Model Information
+This repository contains the persona adapter models presented in the paper [FrameRef: A Framing Dataset and Simulation Testbed for Modeling Bounded Rational Information Health](https://huggingface.co/papers/2602.15273).
 
-All adapters in this repository are LoRA adapters trained on top of the `Llama-3.1-8B-Instruct` base model using 15k training samples. For each framing, we release three independently trained adapters. The baseline adapters were trained with alpha = 1, while all other adapters were trained with alpha = 0.3.  For full details, see the accompanying paper [here](https://arxiv.org/abs/2602.15273).
+## Model Information
 
+All adapters in this repository are LoRA adapters trained on top of the `Llama-3.1-8B-Instruct` base model using 15k training samples. For each framing dimension (authoritative, consensus, emotional, prestige, and sensationalist), we release three independently trained adapters. The baseline adapters were trained with alpha = 1, while all other adapters were trained with alpha = 0.3. 
 
-## Code Repository
+Within the FrameRef framework, these framing-sensitive agent personas are constructed by fine-tuning language models with framing-conditioned loss attenuation, inducing targeted biases while preserving overall task competence. For full details, see the accompanying paper.
 
-GitHub: https://github.com/infosenselab/frameref
+## Resources
 
+- **Code Repository**: [GitHub - infosenselab/frameref](https://github.com/infosenselab/frameref)
+- **Dataset**: [infosense/frameref](https://huggingface.co/datasets/infosense/frameref)
+- **Paper**: [arXiv:2602.15273](https://arxiv.org/abs/2602.15273)
 
 ## Citing FrameRef
 
-If you use this resource in your projects, please cite the following paper.
-
+If you use this resource in your projects, please cite the following paper:
 
 ```bibtex
 @misc{De_Lima_FrameRef_A_Framing_2025,
@@ -32,4 +38,4 @@ title = {{FrameRef: A Framing Dataset and Simulation Testbed for Modeling Bounde
 url = {https://arxiv.org/abs/2602.15273},
 year = {2025}
 }
-```
+```