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Author:
Aswin Jose
Summary:
Adversarial QA for LLM-RL environments: find the reward an empty answer earns.
Latest version:
0.1.0
Optional dependencies:
hypothesis
|
inspect-ai
|
pytest
|
pytest-cov
|
ruff
|
verifiers
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