mlsanityData to 7 Oct 2026

AutoSurvey: Large Language Models Can Automatically Write Surveys

arXiv 2406.10252 ↗First posted 10 Jun 2024cs.IR cs.AI cs.CLcited by 116

Not on the map. Why?

Cited by 31 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

This paper introduces AutoSurvey, a speedy and well-organized methodology for automating the creation of comprehensive literature surveys in rapidly evolving fields like artificial intelligence. Traditional survey paper creation faces challenges due to the vast volume and complexity of information, prompting the need for efficient survey methods. While large language models (LLMs) offer promise in automating this process, challenges such as context window limitations, parametric knowledge constraints, and the lack of evaluation benchmarks remain. AutoSurvey addresses these challenges through a systematic approach that involves initial retrieval and outline generation, subsection drafting by specialized LLMs, integration and refinement, and rigorous evaluation and iteration. Our contributions include a comprehensive solution to the survey problem, a reliable evaluation method, and experimental validation demonstrating AutoSurvey's effectiveness.We open our resources at urlhttps://github.com/AutoSurveys/AutoSurvey.

Key facts. Cited by 116 papers in the map (data through 7 Oct 2026). Builds on 46 of its 57 references that are in the map. First posted on arXiv 10 Jun 2024.

Builds on

46 of 57 references.

References · 46

  1. 2023GPT-4 Technical Reportcited by 18,132
  2. 2023LLaMA: Open and Efficient Foundation Language Modelscited by 13,958
  3. 2020Retrieval-Augmented Generation for Knowledge-Intensive NLP Taskscited by 9,160
  4. 2023Judging LLM-as-a-Judge with MT-Bench and Chatbot Arenacited by 8,393
  5. 2023Segment Anythingcited by 8,158
  6. 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,383
  7. 2023A Survey of Large Language Modelscited by 2,537
  8. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,185
  9. 2022Survey of Hallucination in Natural Language Generationcited by 2,056
  10. 2023LongBench: A Bilingual, Multitask Benchmark for Long Context Understandingcited by 1,378
  11. 2023A Survey on Evaluation of Large Language Modelscited by 1,227
  12. 2018Hierarchical Neural Story Generationcited by 1,182
34 more
  1. 2018Self-Attention with Relative Position Representationscited by 1,112
  2. 2021Transformers in Vision: A Surveycited by 1,009
  3. 2023Large Language Models Can Be Easily Distracted by Irrelevant Contextcited by 820
  4. 2023Extending Context Window of Large Language Models via Positional Interpolationcited by 721
  5. 2023Enabling Large Language Models to Generate Text with Citationscited by 584
  6. 2023Active Retrieval Augmented Generationcited by 506
  7. 2023PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimizationcited by 311
  8. 2022Teaching language models to support answers with verified quotescited by 290
  9. 2021Recursively Summarizing Books with Human Feedbackcited by 287
  10. 2024Long-context LLMs Struggle with Long In-context Learningcited by 285
  11. 2024Nomic Embed: Training a Reproducible Long Context Text Embeddercited by 255
  12. 2023Challenges and Applications of Large Language Modelscited by 251
  13. 2019Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFacecited by 222
  14. 2023Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificitycited by 204
  15. 2023LooGLE: Can Long-Context Language Models Understand Long Contexts?cited by 200
  16. 2023Augmenting Language Models with Long-Term Memorycited by 186
  17. 2021Large Pre-trained Language Models Contain Human-like Biases of What is Right and Wrong to Docited by 178
  18. 2024Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Modelscited by 150
  19. 2023BooookScore: A systematic exploration of book-length summarization in the era of LLMscited by 137
  20. 2023RecurrentGPT: Interactive Generation of (Arbitrarily) Long Textcited by 84
  21. 2023Context-faithful Prompting for Large Language Modelscited by 76
  22. 2023BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Modelscited by 53
  23. 2021Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherencecited by 45
  24. 2019PaperRobot: Incremental Draft Generation of Scientific Ideascited by 37
  25. 2024With Greater Text Comes Greater Necessity: Inference-Time Training Helps Long Text Generationcited by 36
  26. 2024KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Modelscited by 36
  27. 2018Discourse-Aware Neural Rewards for Coherent Text Generationcited by 28
  28. 2019Self-Attention with Structural Position Representationscited by 21
  29. 2018Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignmentcited by 20
  30. 2019The Ambiguous World of Emotion Representationcited by 15
  31. 2024Distilling Text Style Transfer With Self-Explanation From LLMscited by 12
  32. 2023Expository Text Generation: Imitate, Retrieve, Paraphrasecited by 8
  33. 2023A Comprehensive Survey on Affective Computing; Challenges, Trends, Applications, and Future Directionscited by 7
  34. 2023Automatic Sensor-free Affect Detection: A Systematic Literature Reviewcited by 1

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2024: 7; 2025: 64; 2026: 45.

116 papers.

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  1. 2025ToolRL: Reward is All Tool Learning Needscited by 342
  2. 2026Towards End-to-End Automation of AI Researchcited by 150
  3. 2024CycleResearcher: Improving Automated Research via Automated Reviewcited by 142
  4. 2025From Automation to Autonomy: A Survey on Large Language Models in Scientific Discoverycited by 86
  5. 2024Collaborative Gym: A Framework for Enabling and Evaluating Human-Agent Collaborationcited by 60
  6. 2025MLR-Bench: Evaluating AI Agents on Open-Ended Machine Learning Researchcited by 57
  7. 2025MiniCPM4: Ultra-Efficient LLMs on End Devicescited by 51
  8. 2025ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflowscited by 47
  9. 2025ResearchQA: Evaluating Scholarly Question Answering at Scale Across 75 Fields with Survey-Mined Questions and Rubricscited by 44
  10. 2025ReportBench: Evaluating Deep Research Agents via Academic Survey Taskscited by 34
  11. 2025LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Researchcited by 29
  12. 2025RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedbackcited by 24
38 more
  1. 2025Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedbackcited by 23
  2. 2025AI Scientists Fail Without Strong Implementation Capabilitycited by 20
  3. 2025TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Themcited by 20
  4. 2026AutoFigure: Generating and Refining Publication-Ready Scientific Illustrationscited by 20
  5. 2025RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discoverycited by 19
  6. 2025A Vision for Auto Research with LLM Agentscited by 17
  7. 2025Probing the Critical Point (CritPt) of AI Reasoning: a Frontier Physics Research Benchmarkcited by 16
  8. 2025How Far Are AI Scientists from Changing the World?cited by 15
  9. 2025A Cognitive Writing Perspective for Constrained Long-Form Text Generationcited by 14
  10. 2025SurGE: A Benchmark and Evaluation Framework for Scientific Survey Generationcited by 14
  11. 2024The Nature of NLP: Analyzing Contributions in NLP Paperscited by 12
  12. 2024Generative Adversarial Reviews: When LLMs Become the Criticcited by 12
  13. 2025InteractiveSurvey: An LLM-based Personalized and Interactive Survey Paper Generation Systemcited by 11
  14. 2024Instruct Large Language Models to Generate Scientific Literature Survey Step by Stepcited by 10
  15. 2025LLLMs: A Data-Driven Survey of Evolving Research on Limitations of Large Language Modelscited by 9
  16. 2025Evolving Roles of LLMs in Scientific Innovation: Assistant, Collaborator, Scientist, and Evaluatorcited by 9
  17. 2025Context-Aware Hierarchical Taxonomy Generation for Scientific Papers via LLM-Guided Multi-Aspect Clusteringcited by 9
  18. 2025FinSight: Towards Real-World Financial Deep Researchcited by 9
  19. 2026SciCoQA: Quality Assurance for Scientific Paper--Code Alignmentcited by 9
  20. 2024Pap2Pat: Benchmarking Outline-Guided Long-Text Patent Generation with Patent-Paper Pairscited by 8
  21. 2025Automated Capability Discovery via Foundation Model Self-Explorationcited by 8
  22. 2025From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systemscited by 8
  23. 2025LiRA: A Multi-Agent Framework for Reliable and Readable Literature Review Generationcited by 8
  24. 2025Can LLMs Automate Fact-Checking Article Writing?cited by 7
  25. 2025SurveyGen: Quality-Aware Scientific Survey Generation with Large Language Modelscited by 7
  26. 2025SurveyG: A Multi-Agent LLM Framework with Hierarchical Citation Graph for Automated Survey Generationcited by 7
  27. 2025Expert Preference-based Evaluation of Automated Related Work Generationcited by 6
  28. 2025Stop DDoS Attacking the Research Community with AI-Generated Survey Paperscited by 6
  29. 2025AutoSurvey2: Empowering Researchers with Next Level Automated Literature Surveyscited by 6
  30. 2026NovBench: Evaluating Large Language Models on Academic Paper Novelty Assessmentcited by 6
  31. 2026Autonomous Research Agents: A Survey of AI Scientists and the Verification Gapcited by 6
  32. 2025WikiAutoGen: Towards Multi-Modal Wikipedia-Style Article Generationcited by 5
  33. 2025OpenReview Should be Protected and Leveraged as a Community Asset for Research in the Era of Large Language Modelscited by 5
  34. 2025SuperWriter: Reflection-Driven Long-Form Generation with Large Language Modelscited by 5
  35. 2025Deep Literature Survey Automation with an Iterative Workflowcited by 5
  36. 2025Deep Ideation: Designing LLM Agents to Generate Novel Research Ideas on Scientific Concept Networkcited by 5
  37. 2026Learning to Predict Future-Aligned Research Proposals with Language Modelscited by 5
  38. 2025Scaling External Knowledge Input Beyond Context Windows of LLMs via Multi-Agent Collaborationcited by 4

50 most cited of 116 All 116 (JSON)