mlsanityData to 14 Oct 2026

PaperRobot: Incremental Draft Generation of Scientific Ideas

arXiv 1905.07870 ↗First posted 20 May 2019cs.CL cs.AI cs.LGcited by 37

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Abstract (arXiv)

We present a PaperRobot who performs as an automatic research assistant by (1) conducting deep understanding of a large collection of human-written papers in a target domain and constructing comprehensive background knowledge graphs (KGs); (2) creating new ideas by predicting links from the background KGs, by combining graph attention and contextual text attention; (3) incrementally writing some key elements of a new paper based on memory-attention networks: from the input title along with predicted related entities to generate a paper abstract, from the abstract to generate conclusion and future work, and finally from future work to generate a title for a follow-on paper. Turing Tests, where a biomedical domain expert is asked to compare a system output and a human-authored string, show PaperRobot generated abstracts, conclusion and future work sections, and new titles are chosen over human-written ones up to 30%, 24% and 12% of the time, respectively.

Key facts. Cited by 37 papers in the map (data through 14 Oct 2026). First posted on arXiv 20 May 2019.

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Citing papers per year: 2021: 5; 2022: 6; 2023: 5; 2024: 7; 2025: 10; 2026: 4.

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  1. 2021BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generationcited by 412
  2. 2023SciMON: Scientific Inspiration Machines Optimized for Noveltycited by 179
  3. 2024AutoSurvey: Large Language Models Can Automatically Write Surveyscited by 119
  4. 2023Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Modelscited by 80
  5. 2024IdeaSynth: Iterative Research Idea Development Through Evolving and Composing Idea Facets with Literature-Grounded Feedbackcited by 42
  6. 2025Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and Evaluationcited by 42
  7. 2024Quantifying and Mitigating Unimodal Biases in Multimodal Large Language Models: A Causal Perspectivecited by 39
  8. 2022Predicting the Future of AI with AI: High-quality link prediction in an exponentially growing knowledge networkcited by 36
  9. 2024Can Large Language Models Unlock Novel Scientific Research Ideas?cited by 24
  10. 2021SciXGen: A Scientific Paper Dataset for Context-Aware Text Generationcited by 22
  11. 2022A Benchmark Corpus for the Detection of Automatically Generated Text in Academic Publicationscited by 18
  12. 2025How Far Are AI Scientists from Changing the World?cited by 15
25 more
  1. 2022Multimedia Generative Script Learning for Task Planningcited by 12
  2. 2024CELLO: Causal Evaluation of Large Vision-Language Modelscited by 10
  3. 2023SmartBook: AI-Assisted Situation Report Generation for Intelligence Analystscited by 9
  4. 2025Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluatorcited by 9
  5. 2023Exploring and Verbalizing Academic Ideas by Concept Co-occurrencecited by 8
  6. 2025AutoSurvey2: Empowering Researchers with Next Level Automated Literature Surveyscited by 8
  7. 2026Learning to Predict Future-Aligned Research Proposals with Language Modelscited by 8
  8. 2024Creativity in AI: Progresses and Challengescited by 7
  9. 2025XtraGPT: Context-Aware and Controllable Academic Paper Revision via Human-AI Collaborationcited by 7
  10. 2022Transformers Go for the LOLs: Generating (Humourous) Titles from Scientific Abstracts End-to-Endcited by 6
  11. 2025Towards AI-Assisted Research Writing: Benchmarking LLMs for AI/ML Introduction Generationcited by 6
  12. 2025Scaling Laws in Scientific Discovery with AI and Robot Scientistscited by 5
  13. 2021Sentence-Permuted Paragraph Generationcited by 4
  14. 2025BioVerge: A Comprehensive Benchmark and Study of Self-Evaluating Agents for Biomedical Hypothesis Generationcited by 4
  15. 2022Harnessing Knowledge and Reasoning for Human-Like Natural Language Generation: A Brief Reviewcited by 3
  16. 2025Towards AI-assisted Academic Writingcited by 3
  17. 2021How to Train Your Agent to Read and Writecited by 2
  18. 2022SuMe: A Dataset Towards Summarizing Biomedical Mechanismscited by 2
  19. 2026Evolving Idea Graphs with Learnable Edits-and-Commits for Multi-Agent Scientific Ideationcited by 2
  20. 2021PatentMiner: Patent Vacancy Mining via Context-enhanced and Knowledge-guided Graph Attentioncited by 1
  21. 2023Speculative Exploration on the Concept of Artificial Agents Conducting Autonomous Researchcited by 1
  22. 2024Gene-Metabolite Association Prediction with Interactive Knowledge Transfer Enhanced Graph for Metabolite Productioncited by 1
  23. 2025Accepted with Minor Revisions: Value of AI-Assisted Scientific Writingcited by 1
  24. 2026Deep Academic Survey: Stateful Agentic Closed-Loop Paradigm for Academic Survey Automationcited by 0
  25. 2026RAP: Research Attention Prediction Reveals Target-Conditioned Evidence Acquisition Biasescited by 0