Papers with task-specific predictive models

1 papers
Prediction-Augmented Generation for Automatic Diagnosis Tasks (2025.findings-acl)

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Challenge: Large language models (LLMs) adopt autoregressive architecture, predicting the next word token based on the preceding context.
Approach: They propose a method that integrates task-specific predictive models as external tools to improve model generation quality and accuracy.
Outcome: The proposed method improves the generation quality and predictive accuracy of large language models in inference-driven tasks.

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