A planner-executor multi-agent system using gpt-oss-120b and Parsl orchestrates scalable high-throughput MOF screening on the Aurora supercomputer with low overhead.
Rose: Radical orchestrator for surrogate exploration
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
New Text-to-Big SQL metrics show that LLM agents must balance accuracy with cost and speed at scale, where GPT-4o trades some accuracy for up to 12x speedup and GPT-5.2 proves more cost-effective than Gemini 3 Pro on large inputs.
RBF is a hybrid edge-HPC architecture that decouples low-latency edge inference using surrogate models from asynchronous HPC-driven model updates for simulation-bounded cyber-physical systems.
citing papers explorer
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Multi-Agent Orchestration for High-Throughput Materials Screening on a Leadership-Class System
A planner-executor multi-agent system using gpt-oss-120b and Parsl orchestrates scalable high-throughput MOF screening on the Aurora supercomputer with low overhead.
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Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"?
New Text-to-Big SQL metrics show that LLM agents must balance accuracy with cost and speed at scale, where GPT-4o trades some accuracy for up to 12x speedup and GPT-5.2 proves more cost-effective than Gemini 3 Pro on large inputs.
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Hybrid Edge-HPC Systems for Low-Latency Data-Driven Inference
RBF is a hybrid edge-HPC architecture that decouples low-latency edge inference using surrogate models from asynchronous HPC-driven model updates for simulation-bounded cyber-physical systems.