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title = "<h1 class='demo-title'>π Plausibility Evaluation of Context Reliance (PECoRe) π</h1>" |
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subtitle = "<h2 class='demo-subtitle'>An Interpretability Framework to Detect and Attribute Context Reliance in Language Models</h2>" |
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description = """ |
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Given a query and a context passed as inputs to a LM, PECoRe will identify which tokens in the generated |
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response were dependant on context, and match them with context tokens contributing to their prediction. |
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For more information, check out our <a href="https://openreview.net/forum?id=XTHfNGI3zT" target='_blank'>ICLR 2024 paper</a>. |
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""" |
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how_it_works = r""" |
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<details> |
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<summary><h3 class="summary-label">βοΈ How Does It Work?</h3></summary> |
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<br/> |
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PECoRe uses a contrastive approach to attribute context reliance in language models. |
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It compares the model's predictions when the context is present and when it is absent, and attributes the difference in predictions to the context tokens. |
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</details> |
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""" |
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how_to_use = r""" |
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<details> |
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<summary><h3 class="summary-label">π§ How to Use PECoRe</h3></summary> |
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</details> |
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""" |
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citation = r""" |
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<details> |
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<summary><h3 class="summary-label">π Citing PECoRe</h3></summary> |
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@inproceedings{sarti-etal-2023-quantifying, |
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title = "Quantifying the Plausibility of Context Reliance in Neural Machine Translation", |
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author = "Sarti, Gabriele and |
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Chrupa{\l}a, Grzegorz and |
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Nissim, Malvina and |
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Bisazza, Arianna", |
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booktitle = "The Twelfth International Conference on Learning Representations (ICLR 2024)", |
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month = may, |
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year = "2024", |
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address = "Vienna, Austria", |
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publisher = "OpenReview", |
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url = "https://openreview.net/forum?id=XTHfNGI3zT" |
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} |
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</details> |
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""" |
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examples = [ |
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[ |
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"When was Banff National Park established?", |
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"Banff National Park is Canada's oldest national park, established in 1885 as Rocky Mountains Park. Located in Alberta's Rocky Mountains, 110-180 kilometres (68-112 mi) west of Calgary, Banff encompasses 6,641 square kilometres (2,564 sq mi) of mountainous terrain.", |
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] |
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] |
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