Browse State-of-the-Art › Headline Generation
Headline Generation
36 papers with code · 1 benchmark · 2 datasets archive 2025-07-28
Benchmarks archive 2025-07-28
1 leaderboard table shown for this task, 1 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.
| Dataset | Best model (first row in archive order) | Paper | Code | Syntology | Compare |
|---|---|---|---|---|---|
| YTSeg (2 rows) | BART (no context) | From Text Segmentation to Smart Chaptering: A Novel Benchmark for... | — | — | Compare |
Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
2 datasets whose archive record lists this task, ordered by the archive's paper count.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Parent tasks archive 2025-07-28
Most implemented papers archive 2025-07-28
30 shown of 36 papers with code (86 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.
-
25 Mar 2024 4 repositories listedNSINA is the largest news corpus for Sinhala, available up to date.
-
7 Mar 2022 3 repositories listedWe introduce IT5, the first family of encoder-decoder transformer models pretrained specifically on Italian.
-
25 Aug 2019 3 repositories listedWe propose a simple yet effective approach for improving Korean word representations using additional linguistic annotation (i.
-
24 May 2018 3 repositories listed Syntology ran 3 of 17 samples · 14 unverifiedIn this survey, we consider seq2seq problems from the RL point of view and provide a formulation combining the power of RL methods in decision-making with sequence-to-sequence models that enable remembering long-term…
-
22 Dec 2020 2 repositories listedProviding pretrained language models with simple task descriptions in natural language enables them to solve some tasks in a fully unsupervised fashion.
-
9 Jul 2020 2 repositories listedPretrained language models based on Transformer architecture are the reason for recent breakthroughs in many areas of NLP, including sentiment analysis, question answering, named entity recognition.
-
2 Jun 2019 2 repositories listedRecent work in the field of automatic summarization and headline generation focuses on maximizing ROUGE scores for various news datasets.
-
21 Jan 2025 1 repository listedPrevailing methods focus on user-oriented content preferences, but most of them overlook the fact that diverse stylistic preferences are integral to users' panoramic interests, leading to suboptimal personalization.
-
21 Jan 2025 1 repository listedIn this paper, we propose a framework Fact-Preserved Personalized News Headline Generation (short for FPG), to prompt a tradeoff between personalization and consistency.
-
BeliN: A Novel Corpus for Bengali Religious News Headline Generation using Contextual Feature Fusion2 Jan 2025 1 repository listedAutomatic text summarization, particularly headline generation, remains a critical yet underexplored area for Bengali religious news.
-
28 Dec 2024 1 repository listed Syntology ran 2 of 5 samples · 3 unverifiedThis paper introduces AfriHG -- a news headline generation dataset created by combining from XLSum and MasakhaNEWS datasets focusing on 16 languages widely spoken by Africa.
-
6 Jun 2024 1 repository listedMillions of news articles published online daily can overwhelm readers.
-
TeClass: A Human-Annotated Relevance-based Headline Classification and Generation Dataset for Telugu17 Apr 2024 1 repository listedWe further demonstrate the impact of this work by fine-tuning various headline generation models using TeClass dataset.
-
29 Nov 2023 1 repository listedThe task of headline generation within the realm of Natural Language Processing (NLP) holds immense significance, as it strives to distill the true essence of textual content into concise and attention-grabbing…
-
26 Oct 2023 1 repository listedStylistic headline generation is the task to generate a headline that not only summarizes the content of an article, but also reflects a desired style that attracts users.
-
16 Oct 2023 1 repository listedTo explore how humans can best leverage LLMs for writing and how interacting with these models affects feelings of ownership and trust in the writing process, we compared common human-AI interaction types (e.
-
4 Sep 2023 1 repository listedHeadline generation, a key task in abstractive summarization, strives to condense a full-length article into a succinct, single line of text.
-
10 May 2023 1 repository listedWe present V\=arta, a large-scale multilingual dataset for headline generation in Indic languages.
-
7 Nov 2022 1 repository listedIn this paper, we propose a novel Seq2Seq model called CLH3G (Contrastive Learning enhanced Historical Headlines based Headline Generation) which can use the historical headlines of the articles that the author wrote in…
-
1 Jun 2022 1 repository listedTherefore, we propose the first title-text dataset on web documents that incorporates a wide variety of domains to facilitate downstream training.
-
28 May 2022 1 repository listed Syntology ran 0 of 3 samples · 3 unverified · 3 pointer-only (licence)Sentence summarization aims at compressing a long sentence into a short one that keeps the main gist, and has extensive real-world applications such as headline generation.
-
12 May 2022 1 repository listedScientific extreme summarization (TLDR) aims to form ultra-short summaries of scientific papers.
-
15 Sep 2021 1 repository listedWe also consider a new headline generation strategy that takes advantage of the controllable generation order of Transformer.
-
1 Aug 2021 1 repository listedTo build up a benchmark for this problem, we publicize a large-scale dataset named PENS (PErsonalized News headlineS).
-
3 Jun 2021 1 repository listed Syntology ran 3 of 4 samples · 1 unverified · 4 pointer-only (licence)In this framework, we further pre-train mBART sequence-to-sequence denoising auto-encoder model with an auxiliary task using monolingual data of three languages.
-
3 May 2021 1 repository listedThe presented datasets for event detection and headline selection are the first public Russian datasets for their tasks.
-
2 May 2020 1 repository listedBuilding a binary classifier that predicts an entailment relation between an article and its headline, we filter out untruthful instances from the supervision data.
-
8 Apr 2020 1 repository listedFurthermore, we propose a simple and effective method to mine the keyphrases of interest in the news article and build a first large-scale keyphrase-aware news headline corpus, which contains over 180K aligned triples…
-
4 Apr 2020 1 repository listedCurrent summarization systems only produce plain, factual headlines, but do not meet the practical needs of creating memorable titles to increase exposure.
-
6 Feb 2020 1 repository listedTo generate inspired headlines, we propose a novel framework called POpularity-Reinforced Learning for inspired Headline Generation (PORL-HG).
Syntology lines on 4 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.
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections