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---
license: apache-2.0
datasets:
- kejian/ACL-ARC
language:
- en
metrics:
- f1
base_model:
- Qwen/Qwen2.5-14B-Instruct
library_name: transformers
tags:
- scientometrics
- citation_analysis
- citation_intent_classification
pipeline_tag: zero-shot-classification
---
# Qwen2.5-14-CIC-ACLARC
A fine-tuned model for Citation Intent Classification, based on [Qwen 2.5 14B Instruct](https://huggingface.co/Qwen/Qwen2.5-14B-Instruct) and trained on the [ACL-ARC](https://huggingface.co/datasets/kejian/ACL-ARC) dataset.
[GGUF Version](https://huggingface.co/sknow-lab/Qwen2.5-14B-CIC-ACLARC-GGUF)
## ACL-ARC classes
| Class | Description |
| --- | --- |
| Background | The cited paper provides relevant Background information or is part of the body of literature.|
| Motivation | The citing paper is directly motivated by the cited paper. |
| Uses | The citing paper uses the methodology or tools created by the cited paper.|
| Extension | The citing paper extends the methods, tools or data, etc. of the cited paper. |
| Comparison or Contrast | The citing paper expresses similarities or differences to, or disagrees with, the cited paper. |
| Future | *The cited paper may be a potential avenue for future 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](https://github.com/athenarc/CitationIntentOpenLLM/blob/main/citation_intent_classification_experiments.py).
## 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},
}
``` |