bidirectional-generation

PreDiff-LM proposes a hybrid attention mechanism that preserves causal attention for prompt tokens and bidirectional attention for masked target tokens, enabling adaptation of pretrained autoregressive models for discrete masked diffusion language modeling, achieving improvements in perplexity and downstream tasks over prior diffusion baselines.