README.md

---
library_name: transformers
license: odc-by
datasets:
- tceron/wildseek-5categories
language:
- en
metrics:
- f1
base_model:
- answerdotai/ModernBERT-large
pipeline_tag: text-classification
---

# Model Card for Model ID

This classifier has been trained with ModernBERT large. It classifies user interactions with LLMs into 5 categories:

    0: "information seeking",
    1: "content creation",
    2: "coding",
    3: "not english",
    4: "no request"



## Model Details

All details in [paper](https://arxiv.org/abs/2608.30683): 
```bibtex
@inproceedings{ceron2026wildseek,
  title     = {WildSEEK: Evaluating Language Models for Information-Seeking},
  author    = {Ceron, Tanise and Baumann, Joachim and Bassignana, Elisa and Cabuk, Berat and Hovy, Dirk and Nozza, Debora},
  booktitle = {Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing},
  year      = {2026}
}
```

## Other classifiers from this study are:
- **`tceron/high-risk-classifier`** — Other, Economic and Financial, Health, Politics, Judicial and Legal, Moral Values and Religion, Security
- **`tceron/open-endedness-classifier`** — Analytical, Factoid