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News Summarization

Papers

Showing 125 of 85 papers

TitleStatusHype
Generating Summaries with Controllable Readability LevelsCode1
NeuS: Neutral Multi-News Summarization for Mitigating Framing BiasCode1
The Summary Loop: Learning to Write Abstractive Summaries Without ExamplesCode1
Benchmarking Large Language Models for News SummarizationCode1
Context-aware Decoding Reduces Hallucination in Query-focused SummarizationCode1
Exploring Content Selection in Summarization of Novel ChaptersCode1
News Summarization and Evaluation in the Era of GPT-3Code1
FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual KnowledgeCode1
P^3SUM: Preserving Author's Perspective in News Summarization with Diffusion Language ModelsCode1
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News ArticlesCode1
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue SummarizationCode1
ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language ModelsCode1
A Python Tool for Reconstructing Full News Text from GDELTCode1
IT5: Text-to-text Pretraining for Italian Language Understanding and GenerationCode1
Evaluating the Factual Consistency of Large Language Models Through News SummarizationCode1
APE: A Data-Centric Benchmark for Efficient LLM Adaptation in Text SummarizationCode0
Bengali Abstractive News Summarization(BANS): A Neural Attention ApproachCode0
Bias in News Summarization: Measures, Pitfalls and CorporaCode0
Learn to Copy from the Copying History: Correlational Copy Network for Abstractive SummarizationCode0
Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in SummarizationCode0
Background Summarization of Event TimelinesCode0
GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News SummarizationCode0
A Cascade Approach to Neural Abstractive Summarization with Content Selection and FusionCode0
German also Hallucinates! Inconsistency Detection in News Summaries with the Absinth DatasetCode0
GreekT5: A Series of Greek Sequence-to-Sequence Models for News SummarizationCode0
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