Large Language Models for Automated Cross-Domain Machine Learning Task Type Identification: A Benchmark Dataset and Evaluation
cs.LG, cs.AI
Submitted: 2026-09-28
Updated: 2026-09-28
Code: https://github.com/ptsialis/Machine-Learning-Task-Type-Identification
Project page: https://hitz-zentroa.github.io/lm-contamination/10
Terminology
Sources
- HTLM: Hyper-Text Pre-Training and Prompting of Language Models
- Detection of Personal Data in Structured Datasets Using a Large Language Model
- AutoGluon-Tabular: Robust and Accurate AutoML for Structured Data
- MLAgentBench: Evaluating Language Agents on Machine Learning Experimentation
- Towards Better Serialization of Tabular Data for Few-shot Classification with Large Language Models
- Investigating Data Contamination for Pre-training Language Models
- TAPEX: Table Pre-training via Learning a Neural SQL Executor
- AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML
- AutoML-GPT: Automatic Machine Learning with GPT
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