LLMTabBench: Evaluating LLMs on Binary Tabular Classification From Zero to Few Shots

ArXi:2605.24417v1 Announce Type: new Supervised classification for tabular data remains a core machine learning task, yet its reliance on large labeled datasets limits applicability in data-scarce domains. For such few-shot scenarios, specialized methods like TabPFN - a state-of-the-art Prior-Data Fitted Network - have set a high standard by leveraging large-scale synthetic pre