README.md

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

# Model Card for Model ID

This model classifies user interaction queries between Analytical and Factoid. 

Label IDs: 

    0: "Analytical"
    1: "Factoid"


## 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/info-seek-classifier`** — information seeking, content creation, coding, not english, no request
- **`tceron/high-risk-classifier`** — Other, Economic and Financial, Health, Politics, Judicial and Legal, Moral Values and Religion, Security