News Summarization

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

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Datasets archive 2025-07-28

7 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

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Most implemented papers archive 2025-07-28

30 shown of 38 papers with code (85 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• IT5: Text-to-text Pretraining for Italian Language Understanding and Generation
  7 Mar 2022 3 repositories listed
  We introduce IT5, the first family of encoder-decoder transformer models pretrained specifically on Italian.
• ONCE: Boosting Content-based Recommendation with Both Open- and Closed-source Large Language Models
  11 May 2023 2 repositories listed
  Personalized content-based recommender systems have become indispensable tools for users to navigate through the vast amount of content available on platforms like daily news websites and book recommendation services.
• APE: A Data-Centric Benchmark for Efficient LLM Adaptation in Text Summarization
  26 May 2025 1 repository listed
  We present Adjacent Possible Exploration (APE), a simple yet effective method for adapting large language models to specific tasks using minimal computational resources.
• A Python Tool for Reconstructing Full News Text from GDELT
  22 Apr 2025 1 repository listed
  News data have become an essential resource across various disciplines, including economics, finance, management, social sciences, and computer science.
• Evaluating Small Language Models for News Summarization: Implications and Factors Influencing Performance
  2 Feb 2025 1 repository listed
  This research not only contributes to the understanding of SLMs but also provides practical insights for researchers seeking efficient summarization solutions that balance performance and resource use.
• Unraveling the Capabilities of Language Models in News Summarization
  30 Jan 2025 1 repository listed
  In this work, we systematically test the capabilities and effectiveness of these models in summarizing news article texts which are written in different styles and presented in three distinct datasets.
• A Mixed-Language Multi-Document News Summarization Dataset and a Graphs-Based Extract-Generate Model
  13 Oct 2024 1 repository listed
  Existing research on news summarization primarily focuses on single-language single-document (SLSD), single-language multi-document (SLMD) or cross-language single-document (CLSD).
• GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization
  5 Oct 2024 1 repository listed
  News summarization in today's global scene can be daunting with its flood of multilingual content and varied viewpoints from different sources.
• German also Hallucinates! Inconsistency Detection in News Summaries with the Absinth Dataset
  6 Mar 2024 1 repository listed
  The advent of Large Language Models (LLMs) has led to remarkable progress on a wide range of natural language processing tasks.
• TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
  20 Feb 2024 1 repository listed
  We find that there are diverse errors and error distributions in model-generated summaries and that non-LLM based metrics can capture all error types better than LLM-based evaluators.
• Context-aware Decoding Reduces Hallucination in Query-focused Summarization
  21 Dec 2023 1 repository listed
  Query-focused summarization (QFS) aims to provide a summary of a single document/multi documents that can satisfy the information needs of a given query.
• Shaping Political Discourse using multi-source News Summarization
  18 Dec 2023 1 repository listed
  Multi-document summarization is the process of automatically generating a concise summary of multiple documents related to the same topic.
• P^3SUM: Preserving Author's Perspective in News Summarization with Diffusion Language Models
  16 Nov 2023 1 repository listed
  In this work, we take a first step towards designing summarization systems that are faithful to the author's intent, not only the semantic content of the article.
• GreekT5: A Series of Greek Sequence-to-Sequence Models for News Summarization
  13 Nov 2023 1 repository listed
  The proposed models were thoroughly evaluated on the same dataset against GreekBART, which is the state-of-the-art model in Greek abstractive news summarization.
• Background Summarization of Event Timelines
  24 Oct 2023 1 repository listed
  Generating concise summaries of news events is a challenging natural language processing task.
• Generating Summaries with Controllable Readability Levels
  16 Oct 2023 1 repository listed
  Readability refers to how easily a reader can understand a written text.
• Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles
  17 Sep 2023 1 repository listed
  In this paper, we propose a new task of summarizing diverse information encountered in multiple news articles encompassing the same event.
• Bias in News Summarization: Measures, Pitfalls and Corpora
  14 Sep 2023 1 repository listed Syntology ran 2 of 3 samples · 1 unverified · 3 pointer-only (licence)
  We find content selection in single document summarization to be largely unaffected by gender bias, while hallucinations exhibit evidence of bias.
• FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledge
  14 May 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  We propose FactKB, a simple new approach to factuality evaluation that is generalizable across domains, in particular with respect to entities and relations.
• Benchmarking Large Language Models for News Summarization
  31 Jan 2023 1 repository listed
  Large language models (LLMs) have shown promise for automatic summarization but the reasons behind their successes are poorly understood.
• SumREN: Summarizing Reported Speech about Events in News
  2 Dec 2022 1 repository listed
  A primary objective of news articles is to establish the factual record for an event, frequently achieved by conveying both the details of the specified event (i.
• Evaluating the Factual Consistency of Large Language Models Through News Summarization
  15 Nov 2022 1 repository listed
  To generate summaries that are factually inconsistent, we generate summaries from a suite of summarization models that we have manually annotated as factually inconsistent.
• He Said, She Said: Style Transfer for Shifting the Perspective of Dialogues
  27 Oct 2022 1 repository listed
  As a sample application, we demonstrate that applying perspective shifting to a dialogue summarization dataset (SAMSum) substantially improves the zero-shot performance of extractive news summarization models on this…
• News Summarization and Evaluation in the Era of GPT-3
  26 Sep 2022 1 repository listed
  Finally, we evaluate models on a setting beyond generic summarization, specifically keyword-based summarization, and show how dominant fine-tuning approaches compare to prompting.
• Podcast Summary Assessment: A Resource for Evaluating Summary Assessment Methods
  28 Aug 2022 1 repository listed
  The podcast summary assessment data is available.
• NeuS: Neutral Multi-News Summarization for Mitigating Framing Bias
  11 Apr 2022 1 repository listed
  Based on our discovery that title provides a good signal for framing bias, we present NeuS-TITLE that learns to neutralize news content in hierarchical order from title to article.
• Read Top News First: A Document Reordering Approach for Multi-Document News Summarization
  19 Mar 2022 1 repository listed
  A common method for extractive multi-document news summarization is to re-formulate it as a single-document summarization problem by concatenating all documents as a single meta-document.
• Meeting Summarization with Pre-training and Clustering Methods
  16 Nov 2021 1 repository listed
  Lastly, we compare the performance of our baseline models with BART, a state-of-the-art language model that is effective for summarization.
• Learn to Copy from the Copying History: Correlational Copy Network for Abstractive Summarization
  1 Nov 2021 1 repository listed
  It thereby takes advantage of prior copying distributions and, at each time step, explicitly encourages the model to copy the input word that is relevant to the previously copied one.
• MiRANews: Dataset and Benchmarks for Multi-Resource-Assisted News Summarization
  22 Sep 2021 1 repository listed
  We show via data analysis that it's not only the models which are to blame: more than 27% of facts mentioned in the gold summaries of MiRANews are better grounded on assisting documents than in the main source articles.

Syntology lines on 2 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.