An LLM-guided closed-loop policy search framework discovers adaptive configurations for variational quantum optimization that outperform static baselines on MIS and CVRP instances while highlighting the need for staged confirmation.
Boiko, Robert MacKnight, Ben Kline, and Gabe Gomes
4 Pith papers cite this work. Polarity classification is still indexing.
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APWA is a distributed multi-agent architecture that decomposes parallelizable agentic workflows into non-interfering subproblems for scalable execution on heterogeneous resources.
BioResearcher is a new multi-agent system that leads baselines on single-step biomedical tests, BixBench, BaisBench, and a 30-query clinical discovery benchmark with 74.7% positive hit rate.
GeoQuery is a zero-shot retrieval system that optimizes text prompts on a proxy subset so language embeddings correlate with frozen CLAY visual embeddings, then performs text search followed by visual nearest-neighbor lookup, reaching 31.6% accuracy within 50 km on 76 disaster queries.
citing papers explorer
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AutoQResearch: LLM-Guided Closed-Loop Policy Search for Adaptive Variational Quantum Optimization
An LLM-guided closed-loop policy search framework discovers adaptive configurations for variational quantum optimization that outperform static baselines on MIS and CVRP instances while highlighting the need for staged confirmation.
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APWA: A Distributed Architecture for Parallelizable Agentic Workflows
APWA is a distributed multi-agent architecture that decomposes parallelizable agentic workflows into non-interfering subproblems for scalable execution on heterogeneous resources.
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BioResearcher: Scenario-Guided Multi-Agent for Translational Medicine
BioResearcher is a new multi-agent system that leads baselines on single-step biomedical tests, BixBench, BaisBench, and a 30-query clinical discovery benchmark with 74.7% positive hit rate.
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Zero-Shot Satellite Image Retrieval through Joint Embeddings: Application to Crisis Response
GeoQuery is a zero-shot retrieval system that optimizes text prompts on a proxy subset so language embeddings correlate with frozen CLAY visual embeddings, then performs text search followed by visual nearest-neighbor lookup, reaching 31.6% accuracy within 50 km on 76 disaster queries.