Papers by Maarten van Smeden
LAD: LoRA-Adapted Diffusion (2025.emnlp-demos)
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| Challenge: | Autoregressive models dominate text generation but suffer from left-to-right decoding constraints that limit efficiency and bidirectional reasoning. |
| Approach: | They propose a framework for non-autoregressive generation that adapts LLaMA models for iterative, bidirectional sequence refinement using LoRA adapters. |
| Outcome: | The proposed framework adapts LLaMA models for iterative, bidirectional sequence refinement using LoRA adapters. |