Credo proposes representing LLM agent state as beliefs and regulating pipeline behavior with declarative policies stored in a database for adaptive, auditable control.
Parameswaran, and Eugene Wu
4 Pith papers cite this work. Polarity classification is still indexing.
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CADENZA introduces TxRA algebra and logical/physical planners to compile intents into optimized task DAGs, reporting up to 0.49 quality, 165.7x latency, and 310.3x cost gains on SemBench versus prior SQPE optimizers.
AvalancheBench introduces a benchmark for data agents based on recovering a known latent world from observations, reporting that the best coding agent recovers only 26% on an e-commerce case.
AADvark extends agent-aided CAD design to dynamic 3D assemblies with movable parts by integrating constraint solvers and visual feedback to create a verification signal for the agent.
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Agent-Aided Design for Dynamic CAD Models
AADvark extends agent-aided CAD design to dynamic 3D assemblies with movable parts by integrating constraint solvers and visual feedback to create a verification signal for the agent.