MemDLM: Memory-Enhanced DLM Training | ScienceToStartup | ScienceToStartup

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References (55)

[1]

LLaDA2.1: Speeding Up Text Diffusion via Token Editing

2026Tiwei Bie, Maosong Cao et al.

[2]

DLLM Agent: See Farther, Run Faster

2026Huiling Zhen, Weizhe Lin et al.

[3]

Scaling Search-Augmented LLM Reasoning via Adaptive Information Control

Founder's Pitch

"MemDLM enhances Diffusion Language Models by embedding a simulated denoising process into training, leading to faster convergence, lower loss, and emergent in-weight retrieval capabilities for improved long-context understanding."

LLM Training•Score: 7•View PDF ↗

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7.5

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MemDLM: Memory-Enhanced DLM Training

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References (55)

Founder's Pitch

"MemDLM enhances Diffusion Language Models by embedding a simulated denoising process into training, leading to faster convergence, lower loss, and emergent in-weight retrieval capabilities for improved long-context understanding."

Commercial Viability Breakdown

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MemDLM: Memory-Enhanced DLM Training

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References (55)

Founder's Pitch

"MemDLM enhances Diffusion Language Models by embedding a simulated denoising process into training, leading to faster convergence, lower loss, and emergent in-weight retrieval capabilities for improved long-context understanding."

Commercial Viability Breakdown

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