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--- |
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license: apache-2.0 |
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datasets: |
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- kejian/ACL-ARC |
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language: |
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- en |
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metrics: |
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- f1 |
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base_model: |
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- Qwen/Qwen2.5-14B-Instruct |
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pipeline_tag: zero-shot-classification |
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library_name: transformers |
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tags: |
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- scientometrics |
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- citation_analysis |
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- citation_intent_classification |
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--- |
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|
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|
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## Llamacpp imatrix Quantizations of Qwen2.5-14B-CIC-ACLARC |
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|
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Using <a href="https://github.com/ggerganov/llama.cpp/">llama.cpp</a> release <a href="https://github.com/ggerganov/llama.cpp/releases/tag/b3772">b3772</a> for quantization. |
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|
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Original model: https://huggingface.co/sknow-lab/Qwen2.5-14B-CIC-ACLARC |
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|
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## Prompt format |
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|
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``` |
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<|im_start|>system |
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{system_prompt}<|im_end|> |
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<|im_start|>user |
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{prompt}<|im_end|> |
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<|im_start|>assistant |
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``` |
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|
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|
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# Citation |
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|
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``` |
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@misc{koloveas2025llmspredictcitationintent, |
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title={Can LLMs Predict Citation Intent? An Experimental Analysis of In-context Learning and Fine-tuning on Open LLMs}, |
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author={Paris Koloveas and Serafeim Chatzopoulos and Thanasis Vergoulis and Christos Tryfonopoulos}, |
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year={2025}, |
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eprint={2502.14561}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2502.14561}, |
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} |
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``` |
