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Found 2 papers, 1 papers with code
Sample Efficient Multimodal Semantic Augmentation for Incremental Summarization
In this work, we develop a prompting approach for incremental summarization of task videos.
Energy-Based Reranking: Improving Neural Machine Translation Using Energy-Based Models
To benefit from this observation, we train an energy-based model to mimic the behavior of the task measure (i. e., the energy-based model assigns lower energy to samples with higher BLEU score), which is resulted in a re-ranking algorithm based on the samples drawn from NMT: energy-based re-ranking (EBR).
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