IAugenstein
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Update README.md
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README.md
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- en
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pipeline_tag: sentence-similarity
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---
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-
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More info about training, evaluation, and use in paper is here: https://arxiv.org/abs/2406.17753
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Python:
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score2=logits.detach().cpu().numpy()*(-1)
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score = (score1+score2)/2
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return score
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```
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- en
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pipeline_tag: sentence-similarity
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---
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# Model to score relative persuasive language between pairs
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More info about training, evaluation, and use in paper is here: https://arxiv.org/abs/2406.17753
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Python:
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score2=logits.detach().cpu().numpy()*(-1)
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score = (score1+score2)/2
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return score
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```
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## Citation
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If you find our dataset helpful, kindly refer to us in your work using the following citation:
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```
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@misc{pauli2024measuringbenchmarkinglargelanguage,
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title={Measuring and Benchmarking Large Language Models' Capabilities to Generate Persuasive Language},
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author={Amalie Brogaard Pauli and Isabelle Augenstein and Ira Assent},
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year={2024},
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eprint={2406.17753},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2406.17753},
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}
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```
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