SMCLM: Semantically Meaningful Causal Language Modeling for Autoregressive Paraphrase Generation
This article introduces semantically meaningful causal language modeling (SMCLM), a self-supervised method of training autoregressive models to generate semantically equivalent text. Our approach involves using semantically meaningful text representation as an initial embedding in the autoregressive...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/11068992/ |
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