tceron/info-seek-classifier

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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

Model Description

This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.

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All details in:

@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, Factual

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Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

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