Papers with gradient backpropagation

2 papers
Autoregressive Entity Generation for End-to-End Task-Oriented Dialog (2022.coling-1)

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Challenge: Task-oriented dialog systems require external knowledge base to generate a response . current systems require scanning the KB at each turn, which is inefficient when the kb scales up .
Approach: They propose to generate entity autoregressively before leveraging it to guide response generation.
Outcome: Experiments on MultiWOZ 2.1 single and CAMREST show that the proposed system generates more high-quality and entity-consistent responses in an end-to-end manner.
One-for-All Pruning: A Universal Model for Customized Compression of Large Language Models (2025.findings-acl)

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Challenge: Existing pruning methods for large language models (LLMs) focus on achieving high compression rates while maintaining model performance.
Approach: They propose a Univeral Model for Customized Compression (UniCuCo) which introduces a StratNet that learns to map arbitrary requests to their optimal pruning strategy.
Outcome: The proposed model is 28 times faster than baselines in processing 64 requests, while maintaining comparable accuracy to baselines.

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