LERG (Local Explanation of Response Generation) is a unified approach to explain the output of any conditional text generation model. LERG extends and unifies game theory based approach (Shapley value) and local explanations to consider the relationship among output time steps, thus being suitable for text generation.
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Release files for lerg 0.0.1
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Source distribution (sdist)
| File | Size | Uploaded | |
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| lerg-0.0.1.tar.gz | 6.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| lerg-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 13.8 kB
Release files / lerg-0.0.1.tar.gz
| Download URL | lerg-0.0.1.tar.gz |
|---|---|
| Size | 6.6 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.25.0 requests-toolbelt/0.9.1 urllib3/1.26.2 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.5
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Release files / lerg-0.0.1-py3-none-any.whl
| Download URL | lerg-0.0.1-py3-none-any.whl |
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| Size | 7.3 kB |
| Tags | Python 3 |
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twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.25.0 requests-toolbelt/0.9.1 urllib3/1.26.2 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.5
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