Improve model card: Update pipeline tag, add project page and HF paper link (#1)

- Improve model card: Update pipeline tag, add project page and HF paper link (d052a70174f2ad602357e83f856b45e38a979a98)


Co-authored-by: Niels Rogge <[email protected]>

README.md

@@ -1,18 +1,18 @@
 ---
+base_model:
+- google/t5-v1_1-xxl
+datasets:
+- allenai/tulu-v2-sft-mixture
+language:
+- en
+library_name: transformers
 license: apache-2.0
+pipeline_tag: text-generation
 tags:
 - language-modeling
 - causal-lm
 - bias-analysis
 - cognitive-bias
-datasets:
-- allenai/tulu-v2-sft-mixture
-language:
-- en
-base_model:
-- google/t5-v1_1-xxl
-pipeline_tag: text2text-generation
-library_name: transformers
 ---
 
 # Model Card for T5-Tulu
@@ -20,8 +20,8 @@ library_name: transformers
 ## Model Details
 
 **Model Description**  
-This 🤗 Transformers model was finetuned using LoRA adapters for the arXiv paper:  
-**"Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs"**  
+This 🤗 Transformers model was finetuned using LoRA adapters for the paper:  
+**"Planted in Pretraining, Swayed by Finetuning: A Case Study on the Origins of Cognitive Biases in LLMs"** ([Hugging Face Paper](https://huggingface.co/papers/2507.07186), [arXiv](https://arxiv.org/abs/2507.07186))
 We study whether cognitive biases in LLMs emerge from pretraining, instruction tuning, or training randomness.
 This is one of 3 identical versions trained with different random seeds.
 
@@ -30,6 +30,7 @@ This is one of 3 identical versions trained with different random seeds.
 - **License**: Apache 2.0
 - **Finetuned from**: `google/t5-v1_1-xxl`
 - **Paper**: https://arxiv.org/abs/2507.07186
+- **Project Page**: https://itay1itzhak.github.io/planted-in-pretraining
 - **Repository**: https://github.com/itay1itzhak/planted-in-pretraining
 
 ## Uses