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Zixian Ma*

1 accepted papers

2024

m&m’s: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks

ECCV 2024poster

"Real-world multi-modal problems are rarely solved by a single machine learning model, and often require multi-step computational plans that involve stitching several models. Tool-augmented LLMs hold tremendous promise for automating the generation of such computational plans. However, the lack of s…