Waitgpt: Monitoring and steering conversational llm agent in data analysis with on-the-fly code visualization
Large language models (LLMs) support data analysis through conversational user
interfaces, as exemplified in OpenAI's ChatGPT (formally known as Advanced Data Analysis …
interfaces, as exemplified in OpenAI's ChatGPT (formally known as Advanced Data Analysis …
[PDF][PDF] Spreadsheetllm: Encoding spreadsheets for large language models
Spreadsheets are characterized by their extensive two-dimensional grids, flexible layouts,
and varied formatting options, which pose significant challenges for large language models …
and varied formatting options, which pose significant challenges for large language models …
Chartx & chartvlm: A versatile benchmark and foundation model for complicated chart reasoning
Recently, many versatile Multi-modal Large Language Models (MLLMs) have emerged
continuously. However, their capacity to query information depicted in visual charts and …
continuously. However, their capacity to query information depicted in visual charts and …
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation
We introduce SpreadsheetBench, a challenging spreadsheet manipulation benchmark
exclusively derived from real-world scenarios, designed to immerse current large language …
exclusively derived from real-world scenarios, designed to immerse current large language …
[PDF][PDF] CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Abstract Large Language Models (LLMs) have revolutionized code generation ability by
converting natural language descriptions into executable code. However, generating …
converting natural language descriptions into executable code. However, generating …
Encoding Spreadsheets for Large Language Models
Spreadsheets are characterized by their extensive two-dimensional grids, flexible layouts,
and varied formatting options, which pose significant challenges for large language models …
and varied formatting options, which pose significant challenges for large language models …
LightVA: Lightweight Visual Analytics with LLM Agent-Based Task Planning and Execution
Y Zhao, J Wang, L Xiang, X Zhang… - … on Visualization and …, 2024 - ieeexplore.ieee.org
Visual analytics requires analysts to constantly plan and execute analysis tasks based on
observations and generate visualizations and support analysis for gaining insights from …
observations and generate visualizations and support analysis for gaining insights from …
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing
Abstract Large Language Models have revolutionized code generation ability by converting
natural language descriptions into executable code. However, generating complex code …
natural language descriptions into executable code. However, generating complex code …
Table-LLM-Specialist: Language Model Specialists for Tables using Iterative Generator-Validator Fine-tuning
In this work, we propose Table-LLM-Specialist, or Table-Specialist for short, as a new self-
trained fine-tuning paradigm specifically designed for table tasks. Our insight is that for each …
trained fine-tuning paradigm specifically designed for table tasks. Our insight is that for each …
Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis Agents
Interactive Data Analysis, the collaboration between humans and LLM agents, enables real-
time data exploration for informed decision-making. The challenges and costs of collecting …
time data exploration for informed decision-making. The challenges and costs of collecting …