Out-of-Distribution Generalization via Invariant Trajectories for Multimodal Large Language Model Editing | ScienceToStartup | ScienceToStartup

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References (57)

[1]

NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching

2025Run Luo, Xiaobo Xia et al.

[2]

L-MTP: Leap Multi-Token Prediction Beyond Adjacent Context for Large Language Models

2025Xiaohao Liu, Xiaobo Xia et al.

[3]

BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing

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"ODEdit improves robustness in large language models by optimizing invariant learning trajectories for efficient MLLM editing."

LLM Editing•Score: 5•View PDF ↗

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Out-of-Distribution Generalization via Invariant Trajectories for Multimodal Large Language Model Editing

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References (57)

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"ODEdit improves robustness in large language models by optimizing invariant learning trajectories for efficient MLLM editing."

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Out-of-Distribution Generalization via Invariant Trajectories for Multimodal Large Language Model Editing

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Founder's Pitch

"ODEdit improves robustness in large language models by optimizing invariant learning trajectories for efficient MLLM editing."

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