E-InMeMo: Enhanced Prompting for Visual In-Context Learning | Paper Citation Record

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This paper cites On the Opportunities and Risks of Foundation Models.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning On the Opportunities and Risks of Foundation Models

Reference 1

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This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 2

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This paper cites Radford, J.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Radford, J

Reference 3

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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This paper cites Gemini: A Family of Highly Capable Multimodal Models.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Gemini: A Family of Highly Capable Multimodal Models

Reference 5

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Observation c7dfc1e8-b21a-4144-944f-1d9647047035 · outbound

This paper cites Learning To Retrieve Prompts for In-Context Learning.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Learning To Retrieve Prompts for In-Context Learning

Reference 6

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This paper cites Demystifying Prompts in Language Models via Perplexity Estimation.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Demystifying Prompts in Language Models via Perplexity Estimation

Reference 7

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This paper cites Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Self-Adaptive In-Context Learning: An Information Compression Perspective for In-Context Example Selection and Ordering

Reference 8

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This paper cites An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels

Reference 9

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Observation 34b74177-cfe4-4f69-8a21-a8f38bb5034d · outbound

This paper cites Instruction Induction: From Few Examples to Natural Language Task Descriptions.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Instruction Induction: From Few Examples to Natural Language Task Descriptions

Reference 10

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This paper cites Self-Instruct: Aligning Language Models with Self-Generated Instructions.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Self-Instruct: Aligning Language Models with Self-Generated Instructions

Reference 11

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This paper cites Noisy Channel Language Model Prompting for Few-Shot Text Classification.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Noisy Channel Language Model Prompting for Few-Shot Text Classification

Reference 12

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This paper cites VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction

Reference 13

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

Reference 14

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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This paper cites What Makes Good Examples for Visual In-Context Learning?.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning What Makes Good Examples for Visual In-Context Learning?

Reference 16

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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Observation 2de664f1-ea97-44ef-b6e3-9d58ca17034b · outbound

This paper cites Exploring Visual Prompts for Adapting Large-Scale Models.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Exploring Visual Prompts for Adapting Large-Scale Models

Reference 19

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

Reference 21

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

Reference 22

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This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 23

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This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 24

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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This paper cites Adversarial Reprogramming of Neural Networks.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Adversarial Reprogramming of Neural Networks

Reference 26

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This paper cites Neekhara, S.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Neekhara, S

Reference 27

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This paper cites Zhang, B.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Zhang, B

Reference 28

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This paper cites DINOv2: Learning Robust Visual Features without Supervision.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning DINOv2: Learning Robust Visual Features without Supervision

Reference 29

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This paper cites Brown, B.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Brown, B

Reference 30

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This paper cites A Survey on In-context Learning.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning A Survey on In-context Learning

Reference 31

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This paper cites What Makes Good In-Context Examples for GPT-$3$?.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning What Makes Good In-Context Examples for GPT-$3$?

Reference 32

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This paper cites Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity

Reference 33

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Reference 34

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This paper cites PaLM: Scaling Language Modeling with Pathways.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning PaLM: Scaling Language Modeling with Pathways

Reference 36

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This paper cites MetaICL: Learning to Learn In Context.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning MetaICL: Learning to Learn In Context

Reference 37

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This paper cites Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator

Reference 38

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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This paper cites Measuring and Narrowing the Compositionality Gap in Language Models.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Measuring and Narrowing the Compositionality Gap in Language Models

Reference 40

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This paper cites How Do In-Context Examples Affect Compositional Generalization?.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning How Do In-Context Examples Affect Compositional Generalization?

Reference 41

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This paper cites On the Compositional Generalization Gap of In-Context Learning.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning On the Compositional Generalization Gap of In-Context Learning

Reference 42

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This paper cites Alayrac, J.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Alayrac, J

Reference 43

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Reference 47

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Houlsby, A

Reference 48

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 49

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification

Reference 50

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This paper cites Tsai, P.-Y.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Tsai, P.-Y

Reference 51

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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This paper cites AutoVP: An Automated Visual Prompting Framework and Benchmark.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning AutoVP: An Automated Visual Prompting Framework and Benchmark

Reference 55

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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This paper cites Esser, R.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Esser, R

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:29:48.326811Z

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Observation 65e22a2b-48d7-48f8-b8bb-5225a9233422 · outbound

This paper cites One-Shot Learning for Semantic Segmentation.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning One-Shot Learning for Semantic Segmentation

Reference 59

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This paper cites Everingham, L.

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Everingham, L

Reference 60

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Reference 61

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This paper cites Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC).

E-InMeMo: Enhanced Prompting for Visual In-Context Learning Skin Lesion Analysis toward Melanoma Detection: A Challenge at the International Symposium on Biomedical Imaging (ISBI) 2016, hosted by the International Skin Imaging Collaboration (ISIC)

Reference 62

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Reference 63

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Rakelly, E

Reference 65

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Adam: A Method for Stochastic Optimization

Reference 66

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

Reference 67

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E-InMeMo: Enhanced Prompting for Visual In-Context Learning Unresolved cited work

Reference 68

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