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Anirudh Dagar

2 accepted papers

2025

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

NeurIPS 2025poster

Existing AutoML systems have advanced the automation of machine learning (ML); however, they still require substantial manual configuration and expert input, particularly when handling multimodal data. We introduce MLZero, a novel multi-agent framework powered by Large Language Models (LLMs) that en…

Cited by 0SourcecodeScholar
2024

In-Context Learning with Iterative Demonstration Selection

EMNLP 2024finding

Spurred by advancements in scale, large language models (LLMs) have demonstrated strong few-shot learning ability via in-context learning (ICL). However, the performance of ICL has been shown to be highly sensitive to the selection of few-shot demonstrations. Selecting the most suitable examples as…

Cited by 44SourcePDFScholar