🚀 Tired of choosing between speed and accuracy for Diffusion Large Language Models? Meet FreeDave (arxiv.org/abs/2510.00294) — the lossless parallel decoding algorithm that fixes DLLMs’ inference pain points perfectly! No extra draft models, no model tweaks — just smart parallel candidate generation self-verification. For state-of-the-art TraDo DLLMs (arxiv.org/abs/2509.06949): ✅ Throughput boosts up to 2.8× ✅ Accuracy rises: 2.2% on MATH500, 6.66% on tough AIME2024 math tasks It’s the speedup dLLM fans have been waiting for! Grab FreeDave’s code here: github.com/cychomatica/FreeD… Thanks to the team behind it — @cychomatica (first author) for leading this! P.S. Love TraDo? Its codebase is here too: github.com/Gen-Verse/dLLM-RL #AI #dLLM #LLMAcceleration #DiffusionModels #MathReasoning