AACL 2026 tutorial maps diffusion language models, slides now public
Bollegala · x · 2026-11-11
At AACL-IJCNLP 2026, Daisuke Oba (Institute of Science Tokyo) and Danushka Bollegala (University of Liverpool / Amazon) gave a tutorial on diffusion language models and released all slides. Coverage: defining diffusion for text and its relation to autoregressive/masked LM, how large DLMs are built (open-weight models and commercial APIs already exist), rethinking inference, training, and post-training including RL, plus open frontiers — evaluating DLM reliability, safety, and bias, and moving beyond discrete diffusion to continuous flow-based LMs. Designed as an entry map assuming no diffusion background, separating demonstrated results from open problems.
Related event: AACL 2026 Tutorial Covers Diffusion Language Models(2 posts)→
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