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Hi @zjunlp 🤗
Niels here from the open-source team at Hugging Face. I discovered your work through Hugging Face's daily papers as yours got featured: https://huggingface.co/papers/2601.05930.
The paper page lets people discuss about your paper and find related artifacts. You can also claim the paper as yours so it shows up on your public profile at HF, and add your GitHub and project page URLs.
I saw in your abstract and GitHub README that you plan to release the "Preference Corpus" (the 18,438 pairwise comparisons) and the code for FOREAGENT soon. It'd be great to make these available on the 🤗 hub to improve their discoverability and visibility.
Uploading datasets
Making the datasets available on the hub would allow researchers to easily explore them and load them with a single line of code:
from datasets import load_dataset
dataset = load_dataset("your-hf-org-or-username/preference-corpus")Hugging Face also provides the dataset viewer, which allows people to quickly explore the data rows directly in their browser. You can find a guide for uploading here.
Uploading models
We could also host the checkpoints for FOREAGENT or any reward models trained on your preference data. Hosting checkpoints on the Hub allows for download tracking and easy integration with the transformers or hub libraries. See here for a guide: https://huggingface.co/docs/hub/models-uploading.
Let me know if you're interested or if you need any guidance on getting these set up!
Cheers,
Niels
ML Engineer @ HF 🤗