PrepBench is a benchmark showing that state-of-the-art LLMs still struggle with natural-language-driven data preparation involving disambiguation, code generation, and workflow translation.
Seed: Domain-specific data curation with large language models. arxiv 2023
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LDI introduces localized LLM-based imputation for text-rich tables by selecting compact relevant subsets of attributes and tuples per missing value, reporting up to 8% accuracy gains over prior methods.
GenoMAS deploys six specialized LLM agents with guided planning to preprocess transcriptomic data and identify genes, reaching 89.13% composite similarity and 60.48% F1 on the GenoTEX benchmark while outperforming prior methods.
citing papers explorer
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PrepBench: How Far Are We from Natural-Language-Driven Data Preparation?
PrepBench is a benchmark showing that state-of-the-art LLMs still struggle with natural-language-driven data preparation involving disambiguation, code generation, and workflow translation.
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LDI: Localized Data Imputation for Text-Rich Tables
LDI introduces localized LLM-based imputation for text-rich tables by selecting compact relevant subsets of attributes and tuples per missing value, reporting up to 8% accuracy gains over prior methods.
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GenoMAS: A Multi-Agent Framework for Scientific Discovery via Code-Driven Gene Expression Analysis
GenoMAS deploys six specialized LLM agents with guided planning to preprocess transcriptomic data and identify genes, reaching 89.13% composite similarity and 60.48% F1 on the GenoTEX benchmark while outperforming prior methods.