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Modality-Decoupled Online Recursive Editing

ICML 2026 · Vision-language and multimodal › Multimodal LLMs · approach: Unified any-modality language models · 0 citations (OpenAlex)

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Proposes M-ORE, a modality-decoupled online recursive editor for MLLMs that keeps separate locality statistics for the text stack and visual projector and performs Sherman-Morrison updates in a frozen orthogonal low-rank write space, achieving constant per-edit overhead.

Problem

Online model editing of multimodal LLMs under a stream of corrections suffers from cross-modal conflict (visual activations dominate update statistics) and inter-edit interference (sequential edits entangle in a shared subspace), while existing editors either drift or incur edit-growing cost.

Approach

Derives a proximal-projection update with a locality quadratic form, restricts writes to a frozen orthonormal low-rank basis, keeps separate per-module (text vs. visual projector) steady-space preconditioners updated by Sherman-Morrison recursion, giving O(1) per-edit cost.

Key results

Surprising findings

Limitations

Experimental setup

Datasets: E-VQA E-IC NQ OK-VQA MME

Benchmarks: E-VQA E-IC MME

Metrics: reliability generality locality average score edit latency peak memory

Baselines: FT-L FT-M MEND AlphaEdit SERAC IKE LiveEdit

Builds on: ROME MEMIT AlphaEdit LiveEdit MEND

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