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DSBench: A Comprehensive Benchmark Highlighting the Limitations of Current Data Science Agents in Handling Complex, Real-world Data Analysis and Modeling Tasks https://t.co/uIGMha6Tw5 #DataScience #DSBench #AI #MachineLearning #DataAnalysis #ai #news #llm #ml #research #ainew… https://t.co/ChmeSDDr7M
DSBench: A Comprehensive Benchmark Highlighting the Limitations of Current Data Science Agents in Handling Complex, Real-world Data Analysis and Modeling Tasks Researchers from the University of Texas at Dallas, Tencent AI Lab, and the University of Southern California have… https://t.co/lXGKykS0PH
💡Introducing DSBench: a challenging benchmark to evaluate LLM systems on real-world data science problems. GPT-4o scores only 28% accuracy, while humans achieve 66%. A clear gap, but an exciting challenge for AI advancement! 🧐 Paper: https://t.co/EX7BQnDMxz Project lead by our… https://t.co/2w7XhO4IS2
Researchers from the University of Texas at Dallas, Tencent AI Lab, and the University of Southern California have introduced DSBench, a comprehensive benchmark designed to evaluate the performance of large language models (LLMs) on real-world data science problems. The benchmark reveals significant limitations in current data science agents, with GPT-4o scoring only 28% accuracy compared to 66% achieved by human experts. This highlights a substantial gap in the capability of AI systems to handle complex data analysis and modeling tasks, presenting an exciting challenge for future advancements in AI.
