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Found 5 papers, 0 papers with code
DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning
Dialogue State Tracking (DST), a key component of task-oriented conversation systems, represents user intentions by determining the values of pre-defined slots in an ongoing dialogue.
A No-Code Low-Code Paradigm for Authoring Business Automations Using Natural Language
We propose a paradigm for the construction of business automations using natural language.
Towards Automating the AI Operations Lifecycle
Today's AI deployments often require significant human involvement and skill in the operational stages of the model lifecycle, including pre-release testing, monitoring, problem diagnosis and model improvements.
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers
Today's cloud service architectures follow a "one size fits all" deployment strategy where the same service version instantiation is provided to the end users.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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Exploring the Hyperparameter Landscape of Adversarial Robustness
We present a sensitivity analysis that illustrates that the effectiveness of adversarial training hinges on the settings of a few salient hyperparameters.
