#diffusion-llm News & Analysis

2 articles tagged with #diffusion-llm. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AIBullisharXiv – CS AI · May 126/10

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TAD: Temporal-Aware Trajectory Self-Distillation for Fast and Accurate Diffusion LLM

Researchers introduce TAD, a temporal-aware self-distillation framework that improves diffusion large language models' accuracy-parallelism trade-off by using adaptive loss functions based on token decoding timelines. The method increases accuracy from 46.2% to 51.6% while enabling aggressive acceleration modes, addressing a fundamental limitation in parallel text generation.

AIBullisharXiv – CS AI · Mar 36/104

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AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size

Researchers introduce AdaBlock-dLLM, a training-free optimization technique for diffusion-based large language models that adaptively adjusts block sizes during inference based on semantic structure. The method addresses limitations in conventional fixed-block semi-autoregressive decoding, achieving up to 5.3% accuracy improvements under the same throughput budget.