Frequency-aware remasking lifts diffusion language model test-time scaling
MATH-500 gains reach 3.73 points for LLaDA-8B-Instruct and 7.33 points for Dream-7B-Instruct.
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MATH-500 gains reach 3.73 points for LLaDA-8B-Instruct and 7.33 points for Dream-7B-Instruct.
Seven of 305 official Ollama tags solved at most six of 164 HumanEval+ tasks.
With the same 5,000 questions and teacher answers, HumanEval+ rises 3.7 points and MBPP+ 7.1.
Latent Flow Reasoning Models generate math and code solutions by iterative denoising in continuous latent space.
Active Taskless Distillation transfers coding and reasoning skills using one unrelated teacher word per prompt.
Flash-dLLM speeds diffusion LLM inference with I/O-aware KV caching and parallel draft-and-verify decoding.
Flash-dLLM accelerates diffusion LLM inference with I/O-aware KV caching, up to 11 times faster than Elastic-Cache.
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