Papers with MARIA
Enabling Autoregressive Models to Fill In Masked Tokens (2026.findings-eacl)
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| Challenge: | Autoregressive (AR) and masked language modeling (MLM) models are incapable of mucked infilling, which is the ability to predict mangled tokens between past and future context. |
| Approach: | They propose a method that leverages the strengths of autoregressive and masked language modeling to achieve state-of-the-art mucked infilling performance. |
| Outcome: | The proposed approach outperforms existing methods on masked infilling tasks. |