AI Research
TRACE: Trustworthy Retrieval-Augmented Conversational Engine
Improving public service AI reliability through constraint-aware retrieval and dual data representation.
Public service chatbots are expected to deliver recommendations from an underlying public service directory, while also making sure that the recommendations respect explicit user constraints. In practice, public service directories are noisy and inconsistent, and general-purpose ...
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ArXiv CS.AI
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ArXiv CS.AI
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The TRACE framework demonstrates that refining retrieval mechanisms is more critical for accuracy than simply scaling up model parameters. This shift effectively bridges the gap between unreliable general-purpose LLMs and the rigorous accuracy requirements of public service infrastructure.
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