sknow-lab/Qwen2.5-14B-CIC-SciCite

Qwen2.5-14-CIC-SciCite

A fine-tuned model for Citation Intent Classification, based on Qwen 2.5 14B Instruct and trained on the SciCite dataset.

GGUF Version

SciCite classes

Class	Definition
Background information	The citation states, mentions, or points to the background information giving more context about a problem, concept, approach, topic, or importance of the problem in the field.
Method	Making use of a method, tool, approach or dataset.
Result comparison	Comparison of the paper’s results/findings with the results/findings of other work.

Quickstart

# TODO

Details about the system prompts and query templates can be found in the paper.

There might be a need for a cleanup function to extract the predicted label from the output. You can find ours on GitHub.

Citation

@misc{koloveas2025llmspredictcitationintent,
      title={Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMs}, 
      author={Paris Koloveas and Serafeim Chatzopoulos and Thanasis Vergoulis and Christos Tryfonopoulos},
      year={2025},
      eprint={2502.14561},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2502.14561}, 
}