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license: apache-2.0 |
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--- |
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# Goodtriever |
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This repository contains datasets and model generations from the `Goodtriever: Adaptive Toxicity Mitigation with Retrieval-augmented Models` paper, published as a conference paper on EMNLP 2023. |
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[[Paper]]()[[Code]]()[[Data]](https://huggingface.co/datasets/luizapzbn/goodtriever-data) |
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- `data`: prompts and datasets used for datastore creation. |
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- `continual_mitigation`: clustered WILDS data and prompts |
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- `datastore_quality`: for the experiments on how automatic labeling impacts mitigation results |
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- `jigsaw`: main dataset, jigsaw unintended bias |
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- `outputs`: model generations and results for all experiments from the paper. |
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- `alpha_temperature` |
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- `datastore_quality` |
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- `datastore_size` |
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- `k_neighbors` |
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- `model_families` (and main table results) |
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# Citation |
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