The Silent Failures in Agentic Data Science
cs.AI
Submitted: 2026-10-09
Updated: 2026-10-09
Project page: https://trl-lab.github.io/ds-agent-failures
Sources
- MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery
- AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
- Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance
- AIDE: AI-Driven Exploration in the Space of Code
- Navigating Pitfalls: Evaluating LLMs in Machine Learning Programming Education
- A Benchmark for Evaluating Outcome-Driven Constraint Violations in Autonomous AI Agents
- Measuring Agents in Production
- TabICL: A Tabular Foundation Model for In-Context Learning on Large Data
- AgenticDataBench: A Comprehensive Benchmark for Data Agents
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