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NEWTS : A corpus for news topic-focused summarization

Seyed Ali Bahrainian, Sheridan Feucht, Carsten Eickhoff · 2022 · Findings of the Association for Computational Linguistics: ACL 2022 · DOI 10.18653/v1/2022.findings-acl.42

1 Pith paper cite this work, alongside 13 external citations. Polarity classification is still indexing.

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13 external citations · OpenAlex
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cs.LG 1

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2025 1

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REJECT 1

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Logit Reweighting for Topic-Focused Summarization

cs.LG · 2025-07-07 · reject · novelty 4.0

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.

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  • Logit Reweighting for Topic-Focused Summarization cs.LG · 2025-07-07 · reject · none · ref 6

    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.