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Found 3 papers, 1 papers with code
Enhancing Multiple-Choice Question Answering with Causal Knowledge
To the best of our knowledge, no prior work has explored the efficacy of augmenting pretrained language models with external causal knowledge for multiple-choice causal question answering.
Inference to the Best Explanation in Large Language Models
While Large Language Models (LLMs) have found success in real-world applications, their underlying explanatory process is still poorly understood.
Evaluating Sequence-to-Sequence Learning Models for If-Then Program Synthesis
Implementing enterprise process automation often requires significant technical expertise and engineering effort.
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