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Open access Oct 2026

MetagenomicsBench: A Verifiable Benchmark for Agentic Metagenomics Analysis

Metagenomics has transformed our ability to characterize microbial communities without relying on cultivation, but translating complex microbiome datasets into reliable biological conclusions remains a major analytical challenge. Although AI agents have improved substantially at software engineering and general data an...

Zhen Yang, John E. Connolly, Arjun Banerjee et al. · 0 citations
#artificial intelligence Preprint Sep 2026

OSWorld-Science: A Benchmark of Computer Use Agents for Learning and Using Scientific Software

Scientific software presents a demanding test for computer-using agents based on visual language models (VLMs): completing a research workflow requires interpreting specialized interfaces, manipulating scientific objects, and producing verifiable results. We thus introduce OSWorld-Science, a benchmark and evaluation en...

Ding-Yuan Dai, He-Li Qi, Lei Liu et al. · 0 citations
Jul 2026

Can Large Language Models Execute Parent Orders?

PACE (Plan-Ahead Controlled Execution), a hierarchical framework that decomposes parent-order execution into long-horizon planning and short-horizon execution, requiring neither explicit market assumptions nor task-specific training is proposed, suggesting that LLMs can complement human traders in execution decisions.

Zane Shen, Xinli Xu, Guangyi Zhang et al. · 1 citation

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