Logit reweighting, especially a threshold rule that boosts likely topic tokens, increases topic-vocabulary use in summaries from Gemma-2B and Llama-3-8B with little measured quality loss.
Cats: Customizable abstractive topic-based summarization
1 Pith paper cite this work, alongside 15 external citations. Polarity classification is still indexing.
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Logit Reweighting for Topic-Focused Summarization
Logit reweighting, especially a threshold rule that boosts likely topic tokens, increases topic-vocabulary use in summaries from Gemma-2B and Llama-3-8B with little measured quality loss.