2 papers
cs.LG2026
From Prompts to Trees: Effective LLM-Guided Tree Generation for Few-Shot Tabular Classification
Yue Qiu, Zekang Du, Yiqun Diao +2
While Large Language Models (LLMs) possess rich world knowledge and impressive generalization capabilities, their direct application to tabular data classification is hindered by h…
cs.CV2025
VP-Bench: A Comprehensive Benchmark for Visual Prompting in Multimodal Large Language Models
Mingjie Xu, Jinpeng Chen, Yuzhi Zhao +12
Multimodal large language models (MLLMs) have enabled a wide range of advanced vision-language applications, including fine-grained object recognition and contextual understanding.…