{"slug": "automatic-generation-of-titles-for-research-papers-using-language-models", "title": "Automatic Generation of Titles for Research Papers Using Language Models", "summary": "Researchers have developed a method to automatically generate research paper titles from abstracts using open-weight pre-trained and large language models, including fine-tuned PEGASUS-large and zero-shot GPT-3.5-turbo. The study, which introduced a new SpringerSSAT dataset from four social science journals, found that fine-tuned PEGASUS-large outperformed other models across most evaluation metrics. The findings suggest AI-generated titles are generally appropriate and reliable, potentially assisting authors in the challenging task of title selection.", "body_md": "# Computer Science > Computation and Language\n\n[Submitted on 3 Jun 2026]\n\n# Title:Automatic Generation of Titles for Research Papers Using Language Models\n\n[View PDF](/pdf/2606.05085)\n\n[HTML (experimental)](https://arxiv.org/html/2606.05085v1)\n\nAbstract:The title of a research paper conveys its primary idea and, occasionally, its conclusions in a clear and concise manner. Choosing an appropriate title is often challenging, and automated title generation can assist authors in this task. In this work, we propose a technique to generate paper titles from abstracts using open-weight pre-trained and large language models. We use the CSPubSum and LREC-COLING-2024 datasets and introduce a new dataset, SpringerSSAT, curated from four Springer journals in the social sciences. Additionally, we use GPT-3.5-turbo in a zero-shot setting to generate titles. Model performance is evaluated with ROUGE, METEOR, MoverScore, BERTScore, and SciBERTScore metrics. Our experiments show that fine-tuned PEGASUS-large outperforms other models, including fine-tuned LLaMA-3-8B and zero-shot GPT-3.5-turbo, across most metrics. We further demonstrate that ChatGPT can generate creative paper titles. Overall, AI-generated titles are generally appropriate and reliable.\n\n### References & Citations\n\nLoading...\n\n# Bibliographic and Citation Tools\n\nBibliographic Explorer\n\n*(*[What is the Explorer?](https://info.arxiv.org/labs/showcase.html#arxiv-bibliographic-explorer))\nConnected Papers\n\n*(*[What is Connected Papers?](https://www.connectedpapers.com/about))\nLitmaps\n\n*(*[What is Litmaps?](https://www.litmaps.co/))\nscite Smart Citations\n\n*(*[What are Smart Citations?](https://www.scite.ai/))# Code, Data and Media Associated with this Article\n\nalphaXiv\n\n*(*[What is alphaXiv?](https://alphaxiv.org/))\nCatalyzeX Code Finder for Papers\n\n*(*[What is CatalyzeX?](https://www.catalyzex.com))\nDagsHub\n\n*(*[What is DagsHub?](https://dagshub.com/))\nGotit.pub\n\n*(*[What is GotitPub?](http://gotit.pub/faq))\nHugging Face\n\n*(*[What is Huggingface?](https://huggingface.co/huggingface))\nScienceCast\n\n*(*[What is ScienceCast?](https://sciencecast.org/welcome))# Demos\n\n# Recommenders and Search Tools\n\nInfluence Flower\n\n*(*[What are Influence Flowers?](https://influencemap.cmlab.dev/))\nCORE Recommender\n\n*(*[What is CORE?](https://core.ac.uk/services/recommender))# arXivLabs: experimental projects with community collaborators\n\narXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website.\n\nBoth individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them.\n\nHave an idea for a project that will add value for arXiv's community? [ Learn more about arXivLabs](https://info.arxiv.org/labs/index.html).", "url": "https://wpnews.pro/news/automatic-generation-of-titles-for-research-papers-using-language-models", "canonical_source": "https://arxiv.org/abs/2606.05085", "published_at": "2026-06-04 05:42:12+00:00", "updated_at": "2026-06-04 05:47:00.613721+00:00", "lang": "en", "topics": ["natural-language-processing", "large-language-models", "artificial-intelligence", "machine-learning", "generative-ai"], "entities": ["PEGASUS-large", "LLaMA-3-8B", "GPT-3.5-turbo", "ChatGPT", "CSPubSum", "LREC-COLING-2024", "SpringerSSAT", "Springer"], "alternates": {"html": "https://wpnews.pro/news/automatic-generation-of-titles-for-research-papers-using-language-models", "markdown": "https://wpnews.pro/news/automatic-generation-of-titles-for-research-papers-using-language-models.md", "text": "https://wpnews.pro/news/automatic-generation-of-titles-for-research-papers-using-language-models.txt", "jsonld": "https://wpnews.pro/news/automatic-generation-of-titles-for-research-papers-using-language-models.jsonld"}}