AI RESEARCH
FlowBot: Inducing LLM Workflows with Bilevel Optimization and Textual Gradients
arXiv CS.LG
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ArXi:2604.26258v1 Announce Type: cross LLM workflows, which coordinate structured calls to individual LLMs (each augmented with varying instructions and tools) to achieve a particular goal, offer a promising path towards extending the capabilities of LLMs and building powerful systems that can tackle diverse tasks. However, existing approaches for building such workflows generally rely on human-crafted pipelines and prompts, which presents a substantial bottleneck in real world deployment.