AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions
Fuente:
arXiv
Saved in:
| Main Authors: | Li, Ziming, Zang, Qianbo, Ma, David, Guo, Jiawei, Zheng, Tuney, Liu, Minghao, Niu, Xinyao, Wang, Yue, Yang, Jian, Liu, Jiaheng, Zhong, Wanjun, Zhou, Wangchunshu, Huang, Wenhao, Zhang, Ge |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Kaggle Chronicles: 15 Years of Competitions, Community and Data Science Innovation
by: Bönisch, Kevin, et al.
Published: (2025)
by: Bönisch, Kevin, et al.
Published: (2025)
SimuGen: Multi-modal Agentic Framework for Constructing Block Diagram-Based Simulation Models
by: Ren, Xinxing, et al.
Published: (2025)
by: Ren, Xinxing, et al.
Published: (2025)
LongIns: A Challenging Long-context Instruction-based Exam for LLMs
by: Gavin, Shawn, et al.
Published: (2024)
by: Gavin, Shawn, et al.
Published: (2024)
Reverse-Engineered Reasoning for Open-Ended Generation
by: Wang, Haozhe, et al.
Published: (2025)
by: Wang, Haozhe, et al.
Published: (2025)
Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance
by: Grosnit, Antoine, et al.
Published: (2024)
by: Grosnit, Antoine, et al.
Published: (2024)
ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding
by: Ma, David, et al.
Published: (2025)
by: Ma, David, et al.
Published: (2025)
MAmmoTH2: Scaling Instructions from the Web
by: Yue, Xiang, et al.
Published: (2024)
by: Yue, Xiang, et al.
Published: (2024)
LIME: Less Is More for MLLM Evaluation
by: Zhu, King, et al.
Published: (2024)
by: Zhu, King, et al.
Published: (2024)
AutoMV: An Automatic Multi-Agent System for Music Video Generation
by: Tang, Xiaoxuan, et al.
Published: (2025)
by: Tang, Xiaoxuan, et al.
Published: (2025)
Efficient Agents: Building Effective Agents While Reducing Cost
by: Wang, Ningning, et al.
Published: (2025)
by: Wang, Ningning, et al.
Published: (2025)
Scaling Test-time Compute for LLM Agents
by: Zhu, King, et al.
Published: (2025)
by: Zhu, King, et al.
Published: (2025)
A Comparative Study on Reasoning Patterns of OpenAI's o1 Model
by: Wu, Siwei, et al.
Published: (2024)
by: Wu, Siwei, et al.
Published: (2024)
Crowdsourcing the Frontier: Advancing Hybrid Physics-ML Climate Simulation via a $50,000 Kaggle Competition
by: Lin, Jerry, et al.
Published: (2025)
by: Lin, Jerry, et al.
Published: (2025)
A Comparative Study of Library and Information Science Education: China and the United States.
by: Liu, Ziming
Published: (1992)
by: Liu, Ziming
Published: (1992)
KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification
by: Zang, Qianbo, et al.
Published: (2025)
by: Zang, Qianbo, et al.
Published: (2025)
AutoGLM: Autonomous Foundation Agents for GUIs
by: Liu, Xiao, et al.
Published: (2024)
by: Liu, Xiao, et al.
Published: (2024)
Searching together versus searching apart: Evidence from Kaggle
by: Marco S. Minervini, et al.
Published: (2026)
by: Marco S. Minervini, et al.
Published: (2026)
IFEvalCode: Controlled Code Generation
by: Yang, Jian, et al.
Published: (2025)
by: Yang, Jian, et al.
Published: (2025)
KOR-Bench: Benchmarking Language Models on Knowledge-Orthogonal Reasoning Tasks
by: Ma, Kaijing, et al.
Published: (2024)
by: Ma, Kaijing, et al.
Published: (2024)
R&D-Agent: An LLM-Agent Framework Towards Autonomous Data Science
by: Yang, Xu, et al.
Published: (2025)
by: Yang, Xu, et al.
Published: (2025)
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment
by: Wang, Zekun Moore, et al.
Published: (2024)
by: Wang, Zekun Moore, et al.
Published: (2024)
Human and AI Perceptual Differences in Image Classification Errors
by: Liu, Minghao, et al.
Published: (2023)
by: Liu, Minghao, et al.
Published: (2023)
AutoSurrogate: An LLM-Driven Multi-Agent Framework for Autonomous Construction of Deep Learning Surrogate Models in Subsurface Flow
by: Liu, Jiale, et al.
Published: (2026)
by: Liu, Jiale, et al.
Published: (2026)
Citation Theories in the Framework of International Flow of Information: New Evidence with Translation Analysis.
by: Liu, Ziming
Published: (1997)
by: Liu, Ziming
Published: (1997)
AutoAgents: A Framework for Automatic Agent Generation
by: Chen, Guangyao, et al.
Published: (2023)
by: Chen, Guangyao, et al.
Published: (2023)
AutoEval: A Practical Framework for Autonomous Evaluation of Mobile Agents
by: Sun, Jiahui, et al.
Published: (2025)
by: Sun, Jiahui, et al.
Published: (2025)
AutoCode: LLMs as Problem Setters for Competitive Programming
by: Zhou, Shang, et al.
Published: (2025)
by: Zhou, Shang, et al.
Published: (2025)
Governance Architecture for Autonomous Agent Systems: Threats, Framework, and Engineering Practice
by: Ge, Yuxu
Published: (2026)
by: Ge, Yuxu
Published: (2026)
Anemoi: A Semi-Centralized Multi-agent System Based on Agent-to-Agent Communication MCP server from Coral Protocol
by: Ren, Xinxing, et al.
Published: (2025)
by: Ren, Xinxing, et al.
Published: (2025)
Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution
by: Qin, Tianrui, et al.
Published: (2025)
by: Qin, Tianrui, et al.
Published: (2025)
OAgents: An Empirical Study of Building Effective Agents
by: Zhu, He, et al.
Published: (2025)
by: Zhu, He, et al.
Published: (2025)
Engineering MLOps Pipelines With Data Quality: A Case Study on Tabular Datasets in Kaggle
by: Matteo Pancini, et al.
Published: (2025)
by: Matteo Pancini, et al.
Published: (2025)
AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
by: Qiao, Shuofei, et al.
Published: (2024)
by: Qiao, Shuofei, et al.
Published: (2024)
AutoHealth: An Uncertainty-Aware Multi-Agent System for Autonomous Health Data Modeling
by: Xia, Tong, et al.
Published: (2026)
by: Xia, Tong, et al.
Published: (2026)
AutoInspect: Towards Long-Term Autonomous Industrial Inspection
by: Staniaszek, Michal, et al.
Published: (2024)
by: Staniaszek, Michal, et al.
Published: (2024)
TrafficSimAgent: A Hierarchical Agent Framework for Autonomous Traffic Simulation with MCP Control
by: Du, Yuwei, et al.
Published: (2025)
by: Du, Yuwei, et al.
Published: (2025)
AutoContext: Instance-Level Context Learning for LLM Agents
by: Cai, Kuntai, et al.
Published: (2025)
by: Cai, Kuntai, et al.
Published: (2025)
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
by: Lin, Haohong, et al.
Published: (2023)
by: Lin, Haohong, et al.
Published: (2023)
ClimAgent: LLM as Agents for Autonomous Open-ended Climate Science Analysis
by: Wang, Hao, et al.
Published: (2026)
by: Wang, Hao, et al.
Published: (2026)
AutoGRAMS: Autonomous Graphical Agent Modeling Software
by: Krause, Ben, et al.
Published: (2024)
by: Krause, Ben, et al.
Published: (2024)
Similar Items
-
Kaggle Chronicles: 15 Years of Competitions, Community and Data Science Innovation
by: Bönisch, Kevin, et al.
Published: (2025) -
SimuGen: Multi-modal Agentic Framework for Constructing Block Diagram-Based Simulation Models
by: Ren, Xinxing, et al.
Published: (2025) -
LongIns: A Challenging Long-context Instruction-based Exam for LLMs
by: Gavin, Shawn, et al.
Published: (2024) -
Reverse-Engineered Reasoning for Open-Ended Generation
by: Wang, Haozhe, et al.
Published: (2025) -
Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance
by: Grosnit, Antoine, et al.
Published: (2024)