mlsanityData to 7 Oct 2026

SheetCopilot: Bringing Software Productivity to the Next Level through Large Language Models

arXiv 2305.19308 ↗First posted 30 May 2023cs.SE cs.AI cs.CLcited by 53

Not on the map. Why?

Cited by 24 in LLM agents and tool use, but placed by its own abstract, which didn’t fit.

Abstract (arXiv)

Computer end users have spent billions of hours completing daily tasks like tabular data processing and project timeline scheduling. Most of these tasks are repetitive and error-prone, yet most end users lack the skill to automate these burdensome works. With the advent of large language models (LLMs), directing software with natural language user requests become a reachable goal. In this work, we propose a SheetCopilot agent that takes natural language task and control spreadsheet to fulfill the requirements. We propose a set of atomic actions as an abstraction of spreadsheet software functionalities. We further design a state machine-based task planning framework for LLMs to robustly interact with spreadsheets. We curate a representative dataset containing 221 spreadsheet control tasks and establish a fully automated evaluation pipeline for rigorously benchmarking the ability of LLMs in software control tasks. Our SheetCopilot correctly completes 44.3% of tasks for a single generation, outperforming the strong code generation baseline by a wide margin. Our project page:https://sheetcopilot.github.io/.

Key facts. Cited by 53 papers in the map (data through 7 Oct 2026). Builds on 26 of its 93 references that are in the map. First posted on arXiv 30 May 2023.

Builds on

26 of 93 references.

References · 26

  1. 2020Language Models are Few-Shot Learnerscited by 32,199
  2. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,302
  3. 2022ReAct: Synergizing Reasoning and Acting in Language Modelscited by 8,355
  4. 2021Evaluating Large Language Models Trained on Codecited by 8,053
  5. 2022Large Language Models are Zero-Shot Reasonerscited by 4,323
  6. 2023Toolformer: Language Models Can Teach Themselves to Use Toolscited by 4,072
  7. 2022Self-Instruct: Aligning Language Models with Self-Generated Instructionscited by 2,674
  8. 2020The Pile: An 800GB Dataset of Diverse Text for Language Modelingcited by 2,346
  9. 2022Do As I Can, Not As I Say: Grounding Language in Robotic Affordancescited by 2,302
  10. 2023PaLM-E: An Embodied Multimodal Language Modelcited by 2,037
  11. 2021WebGPT: Browser-assisted question-answering with human feedbackcited by 1,722
  12. 2022Competition-Level Code Generation with AlphaCodecited by 1,427
14 more
  1. 2023HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Facecited by 1,173
  2. 2022Inner Monologue: Embodied Reasoning through Planning with Language Modelscited by 1,057
  3. 2022Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agentscited by 1,029
  4. 2021Measuring Coding Challenge Competence With APPScited by 879
  5. 2023Can Large Language Models Be an Alternative to Human Evaluations?cited by 729
  6. 2023ViperGPT: Visual Inference via Python Execution for Reasoningcited by 591
  7. 2023MM-REACT: Prompting ChatGPT for Multimodal Reasoning and Actioncited by 511
  8. 2023Augmented Language Models: a Surveycited by 398
  9. 2023ART: Automatic multi-step reasoning and tool-use for large language modelscited by 193
  10. 2023TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIscited by 184
  11. 2022On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?cited by 137
  12. 2021Shaking the foundations: delusions in sequence models for interaction and controlcited by 61
  13. 2021SpreadsheetCoder: Formula Prediction from Semi-structured Contextcited by 41
  14. 2023FLAME: A small language model for spreadsheet formulascited by 15

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2023: 5; 2024: 19; 2025: 15; 2026: 14.

53 papers.

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  1. 2024OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environmentscited by 1,134
  2. 2024OS-Copilot: Towards Generalist Computer Agents with Self-Improvementcited by 203
  3. 2024Tree Search for Language Model Agentscited by 148
  4. 2024Large Language Models Meet NLP: A Surveycited by 102
  5. 2024SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulationcited by 100
  6. 2023Data-Copilot: Bridging Billions of Data and Humans with Autonomous Workflowcited by 76
  7. 2025A Survey on (M)LLM-Based GUI Agentscited by 61
  8. 2023TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPTcited by 57
  9. 2024Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows?cited by 55
  10. 2023TPTU: Large Language Model-based AI Agents for Task Planning and Tool Usagecited by 54
  11. 2024Large Language Model for Table Processing: A Surveycited by 52
  12. 2024TDAG: A Multi-Agent Framework based on Dynamic Task Decomposition and Agent Generationcited by 50
38 more
  1. 2024AgentStudio: A Toolkit for Building General Virtual Agentscited by 45
  2. 2023TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systemscited by 39
  3. 2024CRAB: Cross-environment Agent Benchmark for Multimodal Language Model Agentscited by 38
  4. 2025OS Agents: A Survey on MLLM-based Agents for General Computing Devices Usecited by 35
  5. 2025macOSWorld: A Multilingual Interactive Benchmark for GUI Agentscited by 31
  6. 2024AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistantcited by 27
  7. 2024CityX: Controllable Procedural Content Generation for Unbounded 3D Citiescited by 20
  8. 2024SheetAgent: Towards A Generalist Agent for Spreadsheet Reasoning and Manipulation via Large Language Modelscited by 16
  9. 2024PoTable: Towards Systematic Thinking via Plan-then-Execute Stage Reasoning on Tablescited by 13
  10. 2025MMTU: A Massive Multi-Task Table Understanding and Reasoning Benchmarkcited by 13
  11. 2025A Framework for Studying AI Agent Behavior: Evidence from Consumer Choice Experimentscited by 10
  12. 2025Finch: Benchmarking Finance & Accounting across Spreadsheet-Centric Enterprise Workflowscited by 9
  13. 2026ShowUI-Aloha: Human-Taught GUI Agentcited by 7
  14. 2026SpreadsheetBench 2: Evaluating Agents on End-to-End Business Spreadsheet Workflowscited by 7
  15. 2024API Pack: A Massive Multi-Programming Language Dataset for API Call Generationcited by 5
  16. 2025LLM Agents Are Hypersensitive to Nudgescited by 5
  17. 2025Text-to-Pipeline: Bridging Natural Language and Data Preparation Pipelinescited by 5
  18. 2023Capture the Flag: Uncovering Data Insights with Large Language Modelscited by 4
  19. 2026FinSheet-Bench: From Simple Lookups to Complex Reasoning, Where LLMs Break on Financial Spreadsheetscited by 4
  20. 2024V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestionscited by 3
  21. 2025Leveraging Metamemory Agent for Enhanced Data-Free Code Generation in Large Language Modelscited by 3
  22. 2025SheetMind: Actions Set Accuracy, Agents Set the Failure Modecited by 3
  23. 2025MDBench: A Synthetic Multi-Document Reasoning Benchmark Generated with Knowledge Guidancecited by 3
  24. 2026CausalEvolve: Towards Open-Ended Discovery with Causal Scratchpadcited by 3
  25. 2026PrepBench: How Far Are We from Natural-Language-Driven Data Preparation?cited by 3
  26. 2025Software Reuse in the Generative AI Era: From Cargo Cult Towards AI Native Software Engineeringcited by 2
  27. 2025Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table Intelligencecited by 2
  28. 2026Sheet As Token: A Graph-Enhanced Representation for Multi-Sheet Spreadsheet Understandingcited by 2
  29. 2024MaxMind: A Memory Loop Network to Enhance Software Productivity based on Large Language Modelscited by 1
  30. 2024InteractPro: A Unified Framework for Motion-Aware Image Compositioncited by 1
  31. 2024Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Modelscited by 1
  32. 2025MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Modelcited by 1
  33. 2025Prompt-in-Content Attacks: Exploiting Uploaded Inputs to Hijack LLM Behaviorcited by 1
  34. 2026T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoningcited by 1
  35. 2026SpreadsheetArena: Decomposing Preference in LLM Generation of Spreadsheet Workbookscited by 1
  36. 2026Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learningcited by 0
  37. 2026How Should Agents Read Demonstrations? Hierarchical Structure Beats Flat Action Logscited by 0
  38. 2026Plans Work in Mysterious Ways: Evaluating a Plan Mode for Spreadsheet Agentscited by 0

50 most cited of 53 All 53 (JSON)