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Utilizing GPT to Enhance Text Summarization: A Strategy to Minimize Hallucinations
In this research, we uses the DistilBERT model to generate extractive summary and the T5 model to generate abstractive summaries.
Potential-Based Reward Shaping For Intrinsic Motivation
Recently there has been a proliferation of intrinsic motivation (IM) reward-shaping methods to learn in complex and sparse-reward environments.
Metric Ensembles For Hallucination Detection
Due to this need, a wide array of metrics estimating consistency with the text being summarized have been proposed.
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