Request to upload code and data for DeepSeek vs. o3-mini to Hugging Face #1
Description
Hi @Rexhaif 🤗
I'm Niels, and I'm part of the open-source team at Hugging Face. I came across your interesting paper, "DeepSeek vs. o3-mini: How Well can Reasoning LLMs Evaluate MT and Summarization?", via Hugging Face Papers: https://huggingface.co/papers/2504.08120.
Your research on comparing reasoning LLMs with non-reasoning counterparts for NLG evaluation is valuable. To enhance the visibility and impact of your work, and to make it easier for others to reproduce and build upon your findings, we encourage you to share your code and data on the Hugging Face Hub. The Hub offers many benefits, including:
- Increased Visibility: Researchers can easily find and access your work.
- Better Discoverability: You can add metadata tags to make your artifacts easily discoverable.
- Reproducibility: Others can more easily reproduce your results.
- Collaboration: The Hub fosters a collaborative environment.
We'd be happy to help you upload your code and data. You can find guidelines here: https://huggingface.co/docs/hub/
Please let me know if you're interested and need any assistance.
Kind regards,
Niels
ML Engineer @ Hugging Face 🤗