An LLM seeds and slots a task-specific architecture search space that conventional NAS then explores, reaching SOTA on 11 of 17 diverse NAS benchmarks.
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Meta-prompt optimization enables LLM agents to discover stable, generalizable tacit collusion strategies in market simulations that outperform hand-crafted prompt baselines.
Introduces TTP with time windows, creates new benchmarks from existing TTP instances, and shows a new heuristic outperforms adapted TSP and TTP methods on many instances.
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Agentic Neural Architecture Search
An LLM seeds and slots a task-specific architecture search space that conventional NAS then explores, reaching SOTA on 11 of 17 diverse NAS benchmarks.
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Prompt Optimization Enables Stable Algorithmic Collusion in LLM Agents
Meta-prompt optimization enables LLM agents to discover stable, generalizable tacit collusion strategies in market simulations that outperform hand-crafted prompt baselines.
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The Traveling Thief Problem with Time Windows: Benchmarks and Heuristics
Introduces TTP with time windows, creates new benchmarks from existing TTP instances, and shows a new heuristic outperforms adapted TSP and TTP methods on many instances.