Papers by Jason Lee Weber

1 papers
Grammar Pruning: Enabling Low-Latency Zero-Shot Task-Oriented Language Models for Edge AI (2025.emnlp-main)

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Challenge: Existing approaches to task-oriented semantic parsers require high latency and extensive resource requirements.
Approach: They propose a framework that couples a rule-based entity extractor with an iterative grammar-constrained decoder.
Outcome: The proposed framework achieves an average execution accuracy of over 90% while sustaining at least 2x lower end-to-end latency than existing methods.

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