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News/AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-Tuning
arxiv
PublishedMay 25, 2026 at 4:00 AM
▲bullish

AGZO: Activation-Guided Zeroth-Order Optimization for LLM Fine-Tuning

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arxiv.orgfull article ↗
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Publisher summary· verbatim

arXiv:2601.17261v4 Announce Type: replace Abstract: Zeroth-Order (ZO) optimization has emerged as a promising solution for fine-tuning LLMs under strict memory constraints, as it avoids the prohibitive memory cost of storing activations for backpropagation. However, existing ZO methods typically emp

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#optimization#llms#fine-tuning#memory-constraints

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Mentioned models
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Source
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arxiv
Read original ↗All from arxiv →
Tags
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#optimization#llms#fine-tuning#memory-constraints

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arxivA Theoretical Analysis of Test-Driven Code Generation17harxivScalable Adaptation of 3D Geometric Foundation Models via Weak Supervision from Internet Video17harxivCan Graph Learning Learn Circuits?17harxivBeyond Fixed Acquisition Functions: Temporal Difference Active Learning for Perturbation Discovery17h
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