MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning | ScienceToStartup | ScienceToStartup

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References (71)

[1]

Cognitive Memory in Large Language Models

2025Lianlei Shan, Shixian Luo et al.

[2]

PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems

2025Mingdai Yang, Fan Yang et al.

[3]

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models

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"MSSR is an adaptive replay framework for continual fine-tuning of LLMs that mitigates catastrophic forgetting while ensuring rapid adaptation."

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MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning

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References (71)

Founder's Pitch

"MSSR is an adaptive replay framework for continual fine-tuning of LLMs that mitigates catastrophic forgetting while ensuring rapid adaptation."

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MSSR: Memory-Aware Adaptive Replay for Continual LLM Fine-Tuning

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References (71)

Founder's Pitch

"MSSR is an adaptive replay framework for continual fine-tuning of LLMs that mitigates catastrophic forgetting while ensuring rapid adaptation."

Commercial Viability Breakdown

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