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Generating Probabilistic Scenario Programs from Natural Language
Reports normally contain uncertainty about the exact details of the incidents which we represent through a Probabilistic Programming Language (PPL), Scenic.
$L^*LM$: Learning Automata from Examples using Natural Language Oracles
Due to the expressivity of natural language, we observe a significant improvement in the data efficiency of learning DFAs from expert demonstrations.
Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game
Our benchmark results show that many models are vulnerable to the attack strategies in the Tensor Trust dataset.
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