BoostLLM

LLMs get boosting fine-tuning for tabular data and new defenses against adversarial agents

Researchers have developed BoostLLM, a novel framework that adapts the boosting paradigm, traditionally used for decision trees, to fine-tune large language models (LLMs) for few-shot tabular classification tasks. This …