{"total":59,"rows":[{"id":"2302.11382","title":"A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPT","created":"2023-02-21","cited_by_count":619,"area":null},{"id":"2304.01852","title":"Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models","created":"2023-04-04","cited_by_count":154,"area":null},{"id":"2402.18659","title":"Large Language Models and Games: A Survey and Roadmap","created":"2024-02-28","cited_by_count":93,"area":null},{"id":"2305.10435","title":"Generative Pre-trained Transformer: A Comprehensive Review on Enabling Technologies, Potential Applications, Emerging Challenges, and Future Directions","created":"2023-05-11","cited_by_count":55,"area":null},{"id":"2407.00981","title":"VisEval: A Benchmark for Data Visualization in the Era of Large Language Models","created":"2024-07-01","cited_by_count":45,"area":null},{"id":"2311.10242","title":"Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers","created":"2023-11-17","cited_by_count":36,"area":"diffusion"},{"id":"2510.23587","title":"A Survey of Data Agents: Emerging Paradigm or Overstated Hype?","created":"2025-10-27","cited_by_count":30,"area":"agents"},{"id":"2310.17894","title":"Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey","created":"2023-10-27","cited_by_count":27,"area":null},{"id":"2503.16632","title":"Benchmarking Visual Language Models on Standardized Visualization Literacy Tests","created":"2025-03-20","cited_by_count":20,"area":"mllm"},{"id":"2307.14107","title":"Decoding ChatGPT: A Taxonomy of Existing Research, Current Challenges, and Possible Future Directions","created":"2023-07-26","cited_by_count":18,"area":null},{"id":"2312.10868","title":"From Google Gemini to OpenAI Q* (Q-Star): A Survey of Reshaping the Generative Artificial Intelligence (AI) Research Landscape","created":"2023-12-18","cited_by_count":18,"area":"moe"},{"id":"2509.23988","title":"LLM/Agent-as-Data-Analyst: A Survey","created":"2025-09-28","cited_by_count":16,"area":"agents"},{"id":"2304.03816","title":"Towards Generating Functionally Correct Code Edits from Natural Language Issue Descriptions","created":"2023-04-07","cited_by_count":14,"area":null},{"id":"2304.02017","title":"Unlocking the Potential of ChatGPT: A Comprehensive Exploration of its Applications, Advantages, Limitations, and Future Directions in Natural Language Processing","created":"2023-03-27","cited_by_count":11,"area":null},{"id":"2504.05445","title":"Probing the Visualization Literacy of Vision Language Models: the Good, the Bad, and the Ugly","created":"2025-04-07","cited_by_count":11,"area":"mllm"},{"id":"2402.02167","title":"Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations","created":"2024-02-03","cited_by_count":10,"area":null},{"id":"2506.13326","title":"VIS-Shepherd: Constructing Critic for LLM-based Data Visualization Generation","created":"2025-06-16","cited_by_count":9,"area":null},{"id":"2306.15551","title":"MyCrunchGPT: A chatGPT assisted framework for scientific machine learning","created":"2023-06-27","cited_by_count":8,"area":null},{"id":"2412.02205","title":"DataLab: A Unified Platform for LLM-Powered Business Intelligence","created":"2024-12-03","cited_by_count":8,"area":null},{"id":"2507.21124","title":"VizGenie: Toward Self-Refining, Domain-Aware Workflows for Next-Generation Scientific Visualization","created":"2025-07-18","cited_by_count":8,"area":"agents"},{"id":"2508.01700","title":"DeepVIS: Bridging Natural Language and Data Visualization Through Step-wise Reasoning","created":"2025-08-03","cited_by_count":8,"area":"lr"},{"id":"2307.16806","title":"Testing the Depth of ChatGPT's Comprehension via Cross-Modal Tasks Based on ASCII-Art: GPT3.5's Abilities in Regard to Recognizing and Generating ASCII-Art Are Not Totally Lacking","created":"2023-07-28","cited_by_count":7,"area":null},{"id":"2312.05275","title":"Exploring the Limits of ChatGPT in Software Security Applications","created":"2023-12-08","cited_by_count":6,"area":null},{"id":"2309.02029","title":"The Impact of Artificial Intelligence on the Evolution of Digital Education: A Comparative Study of OpenAI Text Generation Tools including ChatGPT, Bing Chat, Bard, and Ernie","created":"2023-09-05","cited_by_count":5,"area":null},{"id":"2402.08472","title":"Large Language Models for the Automated Analysis of Optimization Algorithms","created":"2024-02-13","cited_by_count":5,"area":null},{"id":"2507.02877","title":"AuraGenome: An LLM-Powered Framework for On-the-Fly Reusable and Scalable Circular Genome Visualizations","created":"2025-06-18","cited_by_count":5,"area":null},{"id":"2507.22890","title":"Evaluating LLMs for Visualization Generation and Understanding","created":"2025-06-16","cited_by_count":5,"area":null},{"id":"2402.07770","title":"Had enough of experts? Quantitative knowledge retrieval from large language models","created":"2024-02-12","cited_by_count":4,"area":null},{"id":"2406.15259","title":"V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestions","created":"2024-06-21","cited_by_count":4,"area":null},{"id":"2502.13164","title":"Multi-Agent Actor-Critic Generative AI for Query Resolution and Analysis","created":"2025-02-17","cited_by_count":3,"area":null},{"id":"2603.25063","title":"TopoPilot: Reliable Conversational Workflow Automation for Topological Data Analysis and Visualization","created":"2026-03-26","cited_by_count":3,"area":"agents"},{"id":"2310.13226","title":"Enhancing Zero-Shot Crypto Sentiment with Fine-tuned Language Model and Prompt Engineering","created":"2023-10-20","cited_by_count":2,"area":null},{"id":"2311.01825","title":"Large Language Models to the Rescue: Reducing the Complexity in Scientific Workflow Development Using ChatGPT","created":"2023-11-03","cited_by_count":2,"area":null},{"id":"2403.02752","title":"HINTs: Sensemaking on large collections of documents with Hypergraph visualization and INTelligent agents","created":"2024-03-05","cited_by_count":2,"area":"agents"},{"id":"2409.02691","title":"LLM-Assisted Visual Analytics: Opportunities and Challenges","created":"2024-09-04","cited_by_count":2,"area":null},{"id":"2305.04796","title":"The Application of Affective Measures in Text-based Emotion Aware Recommender Systems","created":"2023-05-04","cited_by_count":1,"area":null},{"id":"2501.01014","title":"MDSF: Context-Aware Multi-Dimensional Data Storytelling Framework based on Large language Model","created":"2025-01-02","cited_by_count":1,"area":null},{"id":"2501.09521","title":"Augmenting a Large Language Model with a Combination of Text and Visual Data for Conversational Visualization of Global Geospatial Data","created":"2025-01-16","cited_by_count":1,"area":null},{"id":"2502.17909","title":"FactFlow: Automatic Fact Sheet Generation and Customization from Tabular Dataset via AI Chain Design & Implementation","created":"2025-02-25","cited_by_count":1,"area":null},{"id":"2503.15176","title":"A Review on Large Language Models for Visual Analytics","created":"2025-03-19","cited_by_count":1,"area":null},{"id":"2601.10458","title":"LangLasso: Interactive Cluster Descriptions through LLM Explanation","created":"2026-01-15","cited_by_count":1,"area":null},{"id":"2603.07053","title":"Animating Petascale Time-varying Data on Commodity Hardware with LLM-assisted Scripting","created":"2026-03-07","cited_by_count":1,"area":null},{"id":"2603.16873","title":"The Truth, the Whole Truth, and Nothing but the Truth: Automatic Visualization Evaluation from Reconstruction Quality","created":"2026-01-26","cited_by_count":1,"area":"agents"},{"id":"2606.13731","title":"TwinBI: An Agentic Digital Twin for Efficient Augmented Interactions with Business Intelligence Dashboards","created":"2026-06-11","cited_by_count":1,"area":"agents"},{"id":"2303.18116","title":"Pair Programming with Large Language Models for Sampling and Estimation of Copulas","created":"2023-03-31","cited_by_count":0,"area":null},{"id":"2403.15587","title":"Large language models for crowd decision making based on prompt design strategies using ChatGPT: models, analysis and challenges","created":"2024-03-22","cited_by_count":0,"area":null},{"id":"2406.17805","title":"Can LLMs Generate Visualizations with Dataless Prompts?","created":"2024-06-22","cited_by_count":0,"area":null},{"id":"2408.12726","title":"Macro-Queries: An Exploration into Guided Chart Generation from High Level Prompts","created":"2024-08-22","cited_by_count":0,"area":null},{"id":"2411.12128","title":"The Role of Accuracy and Validation Effectiveness in Conversational Business Analytics","created":"2024-11-18","cited_by_count":0,"area":null},{"id":"2506.10996","title":"Evaluating LLMs for Visualization Tasks","created":"2025-04-10","cited_by_count":0,"area":null},{"id":"2506.21582","title":"VIDEE: Visual and Interactive Decomposition, Execution, and Evaluation of Text Analytics with Intelligent Agents","created":"2025-06-17","cited_by_count":0,"area":"agents"},{"id":"2510.26172","title":"Linking Heterogeneous Data with Coordinated Agent Flows for Social Media Analysis","created":"2025-10-30","cited_by_count":0,"area":"agents"},{"id":"2601.17736","title":"From Static to Interactive: Authoring Interactive Visualizations via Natural Language","created":"2026-01-25","cited_by_count":0,"area":null},{"id":"2603.16057","title":"Toward Reliable Scientific Visualization Pipeline Construction with Structure-Aware Retrieval-Augmented LLMs","created":"2026-03-17","cited_by_count":0,"area":"rag"},{"id":"2605.16274","title":"ChartDesign: Towards LLM Designer of Data Visualization","created":"2026-04-06","cited_by_count":0,"area":null},{"id":"2606.00370","title":"Agentic Authoring of Interactive Multiview Visualizations in Genomics","created":"2026-05-29","cited_by_count":0,"area":"agents"},{"id":"2606.03142","title":"Disentangling Visual and Factual Correctness in LVLMs' Visualization Literacy","created":"2026-06-02","cited_by_count":0,"area":"mllm"},{"id":"2609.15182","title":"VisInteract: Towards Dynamic Interactive Text-to-Visualization under Imperfect Queries","created":"2026-09-14","cited_by_count":0,"area":null},{"id":"2610.14777","title":"LYNX: Analytical Program Synthesis via Grounding and Closed-Loop Refinement","created":"2026-10-10","cited_by_count":0,"area":null}],"next_cursor":null}