Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs | Paper Citation Record

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs online" 'onlinestring :=

Reference 1

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs write newline

Reference 2

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Unresolved cited work

Reference 3

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Reference 4

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This paper cites Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Lifelong Knowledge Editing for Vision Language Models with Low-Rank Mixture-of-Experts

Reference 6

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This paper cites Microsoft COCO Captions: Data Collection and Evaluation Server.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Microsoft COCO Captions: Data Collection and Evaluation Server

Reference 7

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 8

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Unresolved cited work

Reference 9

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This paper cites Can We Edit Multimodal Large Language Models?.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Can We Edit Multimodal Large Language Models?

Reference 10

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This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 11

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Editing Factual Knowledge in Language Models

Reference 12

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This paper cites LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

Reference 13

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Reference 14

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This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Transformer Feed-Forward Layers Are Key-Value Memories

Reference 15

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Reference 16

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs The Llama 3 Herd of Models

Reference 17

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Reference 18

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This paper cites VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark

Reference 19

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This paper cites Transformer-Patcher: One Mistake worth One Neuron.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Transformer-Patcher: One Mistake worth One Neuron

Reference 20

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Unresolved cited work

Reference 21

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 22

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Reference 23

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Reference 24

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This paper cites u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs u ttler, Mike Lewis, Wen-tau Yih, Tim Rockt \

Reference 25

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This paper cites LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

Reference 26

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This paper cites MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs MIKE: A New Benchmark for Fine-grained Multimodal Entity Knowledge Editing

Reference 27

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Reference 28

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This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 29

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Reference 30

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Knowledge Boundary of Large Language Models: A Survey

Reference 31

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 32

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Reference 33

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs TeamLoRA: Boosting Low-Rank Adaptation with Expert Collaboration and Competition

Reference 34

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Reference 35

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 36

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs OK-VQA: A Visual Question Answering Benchmark Requiring External Knowledge

Reference 37

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Reference 38

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Mass-Editing Memory in a Transformer

Reference 39

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Fast Model Editing at Scale

Reference 40

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Reference 41

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Reference 42

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs FocusDiff: Advancing Fine-Grained Text-Image Alignment for Autoregressive Visual Generation through RL

Reference 43

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Reference 44

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Self-supervised Meta-Prompt Learning with Meta-Gradient Regularization for Few-shot Generalization

Reference 45

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Reference 46

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Generative Multimodal Pretraining with Discrete Diffusion Timestep Tokens

Reference 47

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Auto-Encoding Morph-Tokens for Multimodal LLM

Reference 48

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Reference 49

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 50

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Hierarchical Text-Conditional Image Generation with CLIP Latents

Reference 51

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs PiCO+: Contrastive Label Disambiguation for Robust Partial Label Learning

Reference 57

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 58

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of Large Language Models

Reference 59

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This paper cites LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs LEMoE: Advanced Mixture of Experts Adaptor for Lifelong Model Editing of Large Language Models

Reference 60

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Unresolved cited work

Reference 61

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This paper cites MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency

Reference 62

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This paper cites A Comprehensive Study of Knowledge Editing for Large Language Models.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs A Comprehensive Study of Knowledge Editing for Large Language Models

Reference 63

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This paper cites Can We Edit Factual Knowledge by In-Context Learning?.

Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs Can We Edit Factual Knowledge by In-Context Learning?

Reference 64

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions

Reference 65

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Towards Meta-Cognitive Knowledge Editing for Multimodal LLMs MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 66

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