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20232026
most citedML-Bench: Evaluating Large Language Models and Agents for Machine Learning Tasks on Repository-Level Code

2 citations · 3 across the 16 of their papers we have counts for

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cs.AI2026

SaaS-Bench: Can Computer-Use Agents Leverage Real-World SaaS to Solve Professional Workflows?

Kean Shi, Zihang Li, Tianyi Ma +13

Computer-Using Agents (CUAs) are rapidly extending large language models (LLMs) beyond text-based reasoning toward action execution in more complex environments, such as web browse…