Chat2Workflow benchmark shows that state-of-the-art LLMs often grasp high-level intent for visual workflow generation but fail to produce correct, stable, executable outputs, with an agentic framework delivering only modest 5.34% gains.
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A 3B model with few-shot prompting reaches 79.7% of GPT-5 tool-use performance while a hypernetwork adaptation adds zero measurable benefit across four benchmarks.
Proposes autopoietic architectures for self-constructing software as a fundamental shift in the SDLC, leveraging foundation models for autonomous evolution and maintenance.
citing papers explorer
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Chat2Workflow: A Benchmark for Generating Executable Visual Workflows with Natural Language
Chat2Workflow benchmark shows that state-of-the-art LLMs often grasp high-level intent for visual workflow generation but fail to produce correct, stable, executable outputs, with an agentic framework delivering only modest 5.34% gains.
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Meta-Tool: Efficient Few-Shot Tool Adaptation for Small Language Models
A 3B model with few-shot prompting reaches 79.7% of GPT-5 tool-use performance while a hypernetwork adaptation adds zero measurable benefit across four benchmarks.
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Towards Enabling An Artificial Self-Construction Software Life-cycle via Autopoietic Architectures
Proposes autopoietic architectures for self-constructing software as a fundamental shift in the SDLC, leveraging foundation models for autonomous evolution and maintenance.