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For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, standard benchmarks for machine translation are approaching saturation. Further, automatic translation metrics are unreliable, opaque, and vulne...
Aspect-based Summarization (AbSum) aims to generate document summaries describing different facets of the content. The summaries produced by a Large Language Model (LLM) fine-tuned for AbSum likely cover all aspects in the training set, even though some of them may be undesired. Machine Unlearning (MU) techniques are d...
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