mlsanityData to 7 Oct 2026

TLDR: Extreme Summarization of Scientific Documents

arXiv 2004.15011 ↗First posted 30 Apr 2020cs.CLcited by 136

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Abstract (arXiv)

We introduce TLDR generation, a new form of extreme summarization, for scientific papers. TLDR generation involves high source compression and requires expert background knowledge and understanding of complex domain-specific language. To facilitate study on this task, we introduce SciTLDR, a new multi-target dataset of 5.4K TLDRs over 3.2K papers. SciTLDR contains both author-written and expert-derived TLDRs, where the latter are collected using a novel annotation protocol that produces high-quality summaries while minimizing annotation burden. We propose CATTS, a simple yet effective learning strategy for generating TLDRs that exploits titles as an auxiliary training signal. CATTS improves upon strong baselines under both automated metrics and human evaluations. Data and code are publicly available at https://github.com/allenai/scitldr.

Key facts. Cited by 136 papers in the map (data through 7 Oct 2026). First posted on arXiv 30 Apr 2020.

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Citing papers per year: 2021: 20; 2022: 21; 2023: 25; 2024: 31; 2025: 23; 2026: 16.

136 papers.

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  1. 2022Galactica: A Large Language Model for Sciencecited by 736
  2. 2021SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarizationcited by 402
  3. 2023Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2cited by 227
  4. 2024Generative Representational Instruction Tuningcited by 227
  5. 2023The Semantic Scholar Open Data Platformcited by 109
  6. 2022Task-aware Retrieval with Instructionscited by 107
  7. 2024A Comprehensive Survey on Process-Oriented Automatic Text Summarization with Exploration of LLM-Based Methodscited by 101
  8. 2024A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discoverycited by 96
  9. 2021MS2: Multi-Document Summarization of Medical Studiescited by 80
  10. 2021Can We Automate Scientific Reviewing?cited by 63
  11. 2023FactKB: Generalizable Factuality Evaluation using Language Models Enhanced with Factual Knowledgecited by 55
  12. 2022Making Science Simple: Corpora for the Lay Summarisation of Scientific Literaturecited by 54
38 more
  1. 2023SCITAB: A Challenging Benchmark for Compositional Reasoning and Claim Verification on Scientific Tablescited by 51
  2. 2024Autonomous LLM-driven research from data to human-verifiable research paperscited by 50
  3. 2021D2S: Document-to-Slide Generation Via Query-Based Text Summarizationcited by 48
  4. 2021Aspect-Controllable Opinion Summarizationcited by 47
  5. 2022EUR-Lex-Sum: A Multi- and Cross-lingual Dataset for Long-form Summarization in the Legal Domaincited by 39
  6. 2024SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literaturecited by 37
  7. 2021Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documentscited by 33
  8. 2024Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publicationscited by 26
  9. 2024What Can Natural Language Processing Do for Peer Review?cited by 24
  10. 2021Control Prefixes for Parameter-Efficient Text Generationcited by 23
  11. 2024Efficient Solutions For An Intriguing Failure of LLMs: Long Context Window Does Not Mean LLMs Can Analyze Long Sequences Flawlesslycited by 23
  12. 2022EntSUM: A Data Set for Entity-Centric Summarizationcited by 22
  13. 2022CiteBench: A benchmark for Scientific Citation Text Generationcited by 22
  14. 2021Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLPcited by 21
  15. 2021Automated scholarly paper review: Concepts, technologies, and challengescited by 21
  16. 2022Retrieval augmentation of large language models for lay language generationcited by 21
  17. 2024ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publicationscited by 20
  18. 2024MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflowscited by 19
  19. 2021Refocusing on Relevance: Personalization in NLGcited by 18
  20. 2024PaperWeaver: Enriching Topical Paper Alerts by Contextualizing Recommended Papers with User-collected Paperscited by 18
  21. 2025SciArena: An Open Evaluation Platform for Non-Verifiable Scientific Literature-Grounded Taskscited by 17
  22. 2023The ACL OCL Corpus: Advancing Open Science in Computational Linguisticscited by 16
  23. 2024LimGen: Probing the LLMs for Generating Suggestive Limitations of Research Paperscited by 16
  24. 2022CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervisioncited by 15
  25. 2025How Far Are AI Scientists from Changing the World?cited by 15
  26. 2021Generating Informative Conclusions for Argumentative Textscited by 14
  27. 2021Bursting Scientific Filter Bubbles: Boosting Innovation via Novel Author Discoverycited by 13
  28. 2022X-SCITLDR: Cross-Lingual Extreme Summarization of Scholarly Documentscited by 12
  29. 2023Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagationcited by 12
  30. 2024SciNews: From Scholarly Complexities to Public Narratives -- A Dataset for Scientific News Report Generationcited by 12
  31. 2024LitLLMs, LLMs for Literature Review: Are we there yet?cited by 12
  32. 2025What Is That Talk About? A Video-to-Text Summarization Dataset for Scientific Presentationscited by 11
  33. 2021TLDR9+: A Large Scale Resource for Extreme Summarization of Social Media Postscited by 10
  34. 2025PosterSum: A Multimodal Benchmark for Scientific Poster Summarizationcited by 10
  35. 2025Constrained Entropic Unlearning: A Primal-Dual Framework for Large Language Modelscited by 10
  36. 2021Towards Generating Citation Sentences for Multiple References with Intent Controlcited by 9
  37. 2023The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfacescited by 9
  38. 2024MoDEM: Mixture of Domain Expert Modelscited by 9

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