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Paper Citation Record · LEDGER

Learning to Select Visual In-Context Demonstrations

As of 17 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2603.26775.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2603.26775 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:46:09.536909Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

58 of 58 outbound references displayed

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Outbound references

Observation b15d99d7-6e42-4d8c-858f-e059507c3552 · outbound

This paper cites Phi-4 Technical Report.

Learning to Select Visual In-Context Demonstrations Phi-4 Technical Report

Reference 1

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Observation f0f64a45-4f5a-4b10-bb8c-b3dc67f3ab7e · outbound

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

Learning to Select Visual In-Context Demonstrations How Do In-Context Examples Affect Compositional Generalization?

Reference 2

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Observation 914f3659-da50-4f32-a634-14dcb51b6d4e · outbound

This paper cites Qwen2.5-VL Technical Report.

Learning to Select Visual In-Context Demonstrations Qwen2.5-VL Technical Report

Reference 3

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Observation 0c802299-ec42-4631-b4df-b4753ea39e01 · outbound

This paper cites Editing Factual Knowledge in Language Models.

Learning to Select Visual In-Context Demonstrations Editing Factual Knowledge in Language Models

Reference 4

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Observation b1cf1ab0-48dc-4894-9c1d-4b15e448a1e1 · outbound

This paper cites Is GPT-3 a Good Data Annotator?.

Learning to Select Visual In-Context Demonstrations Is GPT-3 a Good Data Annotator?

Reference 5

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Observation 5537badc-83f2-44f0-b6e9-340b54aaf4cf · outbound

This paper cites A Survey on In-context Learning.

Learning to Select Visual In-Context Demonstrations A Survey on In-context Learning

Reference 6

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Observation fb0e383b-37b3-4336-b548-8908ac63d2c7 · outbound

This paper cites The faiss library.

Learning to Select Visual In-Context Demonstrations The faiss library

Reference 7

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Observation 9c536aee-0c12-4b78-a7fb-03c01919f380 · outbound

This paper cites Towards multimodal in-context learning for vi- sion and language models.

Learning to Select Visual In-Context Demonstrations Towards multimodal in-context learning for vi- sion and language models

Reference 8

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Observation a054b799-2e93-4643-a75a-5e90127f9356 · outbound

This paper cites Deep Reinforcement Learning in Large Discrete Action Spaces.

Learning to Select Visual In-Context Demonstrations Deep Reinforcement Learning in Large Discrete Action Spaces

Reference 9

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Observation 4fcf6c62-539f-430e-99c4-00e43621850c · outbound

This paper cites In-context learning enables multimodal large language models to classify cancer pathology images.Na- ture Communications, 15(1):10104, 2024.

Learning to Select Visual In-Context Demonstrations In-context learning enables multimodal large language models to classify cancer pathology images.Na- ture Communications, 15(1):10104, 2024

Reference 10

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Observation 8a709d1b-589a-4b61-9276-e9a88b87d307 · outbound

This paper cites What Makes Good Few-shot Examples for Vision-Language Models?.

Learning to Select Visual In-Context Demonstrations What Makes Good Few-shot Examples for Vision-Language Models?

Reference 11

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Observation 44b14da5-14d8-433a-80c5-31688df9c1a8 · outbound

This paper cites Structured Prompting: Scaling In-Context Learning to 1,000 Examples.

Learning to Select Visual In-Context Demonstrations Structured Prompting: Scaling In-Context Learning to 1,000 Examples

Reference 12

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Observation 8b926d74-ed55-4d21-b18e-ef1fbff695e2 · outbound

This paper cites Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment.IEEE Transactions on Image Processing, 29:4041–4056, 2020.

Learning to Select Visual In-Context Demonstrations Koniq-10k: An ecologically valid database for deep learning of blind image quality assessment.IEEE Transactions on Image Processing, 29:4041–4056, 2020

Reference 13

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Observation 1df98daf-a1b2-4e78-8bda-330256794b79 · outbound

This paper cites Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text.

Learning to Select Visual In-Context Demonstrations Exploring In-Context Learning Capabilities of Foundation Models for Generating Knowledge Graphs from Text

Reference 14

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Observation 2ac3a5f9-3ea5-4896-8ec3-0ad001d41a76 · outbound

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

Learning to Select Visual In-Context Demonstrations Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator

Reference 15

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Observation ec5c7b75-ca61-4997-b0fe-53229d1fdd86 · outbound

This paper cites In-context compositional general- ization for large vision-language models.

Learning to Select Visual In-Context Demonstrations In-context compositional general- ization for large vision-language models

Reference 16

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Observation 22871e42-6f0b-414c-81ed-68b04c822a67 · outbound

This paper cites Deep instance-level hard negative min- ing model for histopathology images.

Learning to Select Visual In-Context Demonstrations Deep instance-level hard negative min- ing model for histopathology images

Reference 17

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Observation 46ec60be-dd7b-485d-a189-70bae4dd2fd4 · outbound

This paper cites Advancing multimodal in-context learning in large vision-language models with task-aware demonstra- tions.

Learning to Select Visual In-Context Demonstrations Advancing multimodal in-context learning in large vision-language models with task-aware demonstra- tions

Reference 18

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Observation 05f01e34-491d-43ea-8af4-bc04ac702f0d · outbound

This paper cites Scut-fbp5500: A diverse benchmark dataset for multi-paradigm facial beauty prediction.

Learning to Select Visual In-Context Demonstrations Scut-fbp5500: A diverse benchmark dataset for multi-paradigm facial beauty prediction

Reference 19

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Observation bde1a730-b542-4580-9eb9-614fab693213 · outbound

This paper cites Kadid-10k: A large-scale artificially distorted iqa database.

Learning to Select Visual In-Context Demonstrations Kadid-10k: A large-scale artificially distorted iqa database

Reference 20

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Observation 6bef8be7-a61c-416c-a9de-85d38ac4f5ac · outbound

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

Learning to Select Visual In-Context Demonstrations What Makes Good In-Context Examples for GPT-$3$?

Reference 21

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Observation d9bc13a5-ba70-46b0-81c6-14f586dfb949 · outbound

This paper cites Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning.

Learning to Select Visual In-Context Demonstrations Let's Learn Step by Step: Enhancing In-Context Learning Ability with Curriculum Learning

Reference 22

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Observation a6044771-d5da-448a-b0a9-5970fc99ccc0 · outbound

This paper cites Active Learning Principles for In-Context Learning with Large Language Models.

Learning to Select Visual In-Context Demonstrations Active Learning Principles for In-Context Learning with Large Language Models

Reference 23

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Observation 489dc851-cb6b-4ad0-96c2-be5030b76611 · outbound

This paper cites Using In-Context Learning to Improve Dialogue Safety.

Learning to Select Visual In-Context Demonstrations Using In-Context Learning to Improve Dialogue Safety

Reference 24

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Observation a79fa72d-6334-4b31-ad6c-492b3f0e4740 · outbound

This paper cites Ava: A large-scale database for aesthetic visual analysis.

Learning to Select Visual In-Context Demonstrations Ava: A large-scale database for aesthetic visual analysis

Reference 25

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Observation c0e7a60e-2fed-49a0-a99b-51cab89bfacd · outbound

This paper cites Differentially private in-context learning.

Learning to Select Visual In-Context Demonstrations Differentially private in-context learning

Reference 26

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Observation dcf9444b-9086-4fbc-9f06-a4d00ea1cb1f · outbound

This paper cites A call to reflect on eval- uation practices for age estimation: Comparative analysis of the state-of-the-art and a unified benchmark.

Learning to Select Visual In-Context Demonstrations A call to reflect on eval- uation practices for age estimation: Comparative analysis of the state-of-the-art and a unified benchmark

Reference 27

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Observation a30ee5ef-56e4-427a-b901-0e7e454468f0 · outbound

This paper cites Sample efficient demonstration selection for in-context learning.

Learning to Select Visual In-Context Demonstrations Sample efficient demonstration selection for in-context learning

Reference 28

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Observation 0123db08-f8f4-43ea-bf2d-470a933ec752 · outbound

This paper cites In-Context Learning with Iterative Demonstration Selection.

Learning to Select Visual In-Context Demonstrations In-Context Learning with Iterative Demonstration Selection

Reference 29

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Observation 0fa59680-5c13-4dca-9f8c-0797b88ed012 · outbound

This paper cites In- context retrieval-augmented language models.Transactions of the Association for Computational Linguistics, 11:1316– 1331, 2023.

Learning to Select Visual In-Context Demonstrations In- context retrieval-augmented language models.Transactions of the Association for Computational Linguistics, 11:1316– 1331, 2023

Reference 30

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Observation 9b1246d3-ca2b-4fae-9a5c-2a5ceaf75dda · outbound

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

Learning to Select Visual In-Context Demonstrations Learning To Retrieve Prompts for In-Context Learning

Reference 31

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Observation a89813ad-1f04-4155-a6f7-c925393d5217 · outbound

This paper cites Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment.

Learning to Select Visual In-Context Demonstrations Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment

Reference 32

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Observation c94951d0-fe87-400b-ace4-5db17b97d95b · outbound

This paper cites Gemma 3 Technical Report.

Learning to Select Visual In-Context Demonstrations Gemma 3 Technical Report

Reference 33

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Observation bfcd0984-dfa9-40ca-8ebd-08f4e90233b6 · outbound

This paper cites Regres- sion or classification? new methods to evaluate no-reference picture and video quality models.

Learning to Select Visual In-Context Demonstrations Regres- sion or classification? new methods to evaluate no-reference picture and video quality models

Reference 34

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Observation 9a11281d-b61f-463e-b337-5228fb903bb3 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Learning to Select Visual In-Context Demonstrations Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 35

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Observation d0553582-4af5-4dd7-bdff-ff24f2e623a6 · outbound

This paper cites In-context example retrieval from multi- perspectives for few-shot aspect-based sentiment analysis.

Learning to Select Visual In-Context Demonstrations In-context example retrieval from multi- perspectives for few-shot aspect-based sentiment analysis

Reference 36

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Observation fbd9f76a-b537-475f-aaa8-953c52615def · outbound

This paper cites Want To Reduce Labeling Cost? GPT-3 Can Help.

Learning to Select Visual In-Context Demonstrations Want To Reduce Labeling Cost? GPT-3 Can Help

Reference 37

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Observation 1aaf970c-aab8-46c4-8e00-39db331318d5 · outbound

This paper cites Large language models are im- plicitly topic models: Explaining and finding good demon- strations for in-context learning.

Learning to Select Visual In-Context Demonstrations Large language models are im- plicitly topic models: Explaining and finding good demon- strations for in-context learning

Reference 38

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source=pdf_text observed=2026-08-04T05:46:08.079594Z digest=sha256:2e63276a80130658b4a6c71bb825b5c183d6e216b56fe9d307c1258873d4dbea

Observation e98011ac-ea98-4f1e-a609-37a8435e85a6 · outbound

This paper cites Demonstration Selection for In-Context Learning via Reinforcement Learning.

Learning to Select Visual In-Context Demonstrations Demonstration Selection for In-Context Learning via Reinforcement Learning

Reference 39

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source=pdf_text observed=2026-08-04T05:46:08.104499Z digest=sha256:fae4b0448690c7b8a105c884b604b6332534556310e2cae1b69ee711a342da9b

Observation 3168c1ee-e8f3-438b-935d-e797a82596b5 · outbound

This paper cites Dueling network architectures for deep reinforcement learning.

Learning to Select Visual In-Context Demonstrations Dueling network architectures for deep reinforcement learning

Reference 40

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source=pdf_text observed=2026-08-04T05:46:08.156106Z digest=sha256:1c23e7d8de1e43158bafe2a9b99bfe8382b40516be422421c6d3238f6c730b0a

Observation bdfcf29b-90c5-4c72-a53b-2f6d760462c0 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large lan- guage models.Advances in neural information processing systems, 35:24824–24837, 2022.

Learning to Select Visual In-Context Demonstrations Chain-of-thought prompting elicits reasoning in large lan- guage models.Advances in neural information processing systems, 35:24824–24837, 2022

Reference 41

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source=pdf_text observed=2026-08-04T05:46:08.263279Z digest=sha256:49fc54f59aedf5275e9386e293fb5dfdf1b0a5fd152ba820c49acfecbc49edde

Observation b4f33344-ff3c-42a4-9b6c-fe835874442f · outbound

This paper cites To- wards reliable and holistic visual in-context learning prompt selection.arXiv preprint arXiv:2509.25989, 2025.

Learning to Select Visual In-Context Demonstrations To- wards reliable and holistic visual in-context learning prompt selection.arXiv preprint arXiv:2509.25989, 2025

Reference 42

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source=pdf_text observed=2026-08-04T05:46:08.314301Z digest=sha256:cc464c94ad7c3880e192e112e837e5476a3d232ca81459a6b8942ae64546a6a3

Observation d2a6a47d-fe6d-4b70-8c9c-4ed003c6227a · outbound

This paper cites The Role of Diversity in In-Context Learning for Large Language Models.

Learning to Select Visual In-Context Demonstrations The Role of Diversity in In-Context Learning for Large Language Models

Reference 43

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source=pdf_text observed=2026-08-04T05:46:08.354944Z digest=sha256:40176f596ce5df676f01fe17828fe6d196d84f292304c6a3471bed37f58e875f

Observation c1a204a8-837b-418a-b40a-4b15b4c04317 · outbound

This paper cites Improving In-Context Learning with Prediction Feedback for Sentiment Analysis.

Learning to Select Visual In-Context Demonstrations Improving In-Context Learning with Prediction Feedback for Sentiment Analysis

Reference 44

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source=pdf_text observed=2026-08-04T05:46:08.426203Z digest=sha256:c58d6efffc61ae2a890919e8e790a569fc90bd8ed8ecce0c79f1a3b85aeb6371

Observation 8a44a156-d925-4db0-860b-921d2c5be51b · outbound

This paper cites Transferring Rich Deep Features for Facial Beauty Prediction.

Learning to Select Visual In-Context Demonstrations Transferring Rich Deep Features for Facial Beauty Prediction

Reference 45

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source=pdf_text observed=2026-08-04T05:46:08.475426Z digest=sha256:0ac6db7daa3221edb8619cff148100ac6cb0cfe77bb2e31e36a09be3126d8d10

Observation 7d1a4094-af40-408f-bb9a-052946081441 · outbound

This paper cites Auto-ICL: In-Context Learning without Human Supervision.

Learning to Select Visual In-Context Demonstrations Auto-ICL: In-Context Learning without Human Supervision

Reference 46

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source=pdf_text observed=2026-08-04T05:46:08.513288Z digest=sha256:5ea078336e46a08e42784869655d312b2f28814c56b36cd68af20b6739796ed1

Observation a43558d7-58bc-436d-9870-8a3f98c7b720 · outbound

This paper cites an unresolved cited work.

Learning to Select Visual In-Context Demonstrations Unresolved cited work

Reference 47

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source=pdf_text observed=2026-08-04T05:46:08.613386Z digest=sha256:d27a330ce9db0c3c21e811a7ab43e5e22d188becf8b80a6576e3597dd7a6097e

Observation 01959aef-234b-439f-b262-6e82584caf86 · outbound

This paper cites Representative demonstration selection for in-context learning with two-stage determinantal point pro- cess.

Learning to Select Visual In-Context Demonstrations Representative demonstration selection for in-context learning with two-stage determinantal point pro- cess

Reference 48

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source=pdf_text observed=2026-08-04T05:46:08.663746Z digest=sha256:a5dd2cdbc105c80a5fe8804d094baeed0479eba2c9b6e52b8475effd94ef8fdc

Observation a30b6bd0-ee71-4953-95aa-7c566f8fb33a · outbound

This paper cites Large language models are contrastive reasoners.

Learning to Select Visual In-Context Demonstrations Large language models are contrastive reasoners

Reference 49

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source=pdf_text observed=2026-08-04T05:46:08.710613Z digest=sha256:f1cda7a76334e8d9b72dc57daa920dd82a0c7d60b84d1fb28a97a112c99c6a64

Observation 4801f8a1-a077-4711-9e7a-330a93cc5939 · outbound

This paper cites Compositional exemplars for in-context learn- ing.

Learning to Select Visual In-Context Demonstrations Compositional exemplars for in-context learn- ing

Reference 50

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source=pdf_text observed=2026-08-04T05:46:08.733332Z digest=sha256:0dd0ee24887f94a14c818151e74a62a6533c17988ad3a63bfadfcfcbf34b810a

Observation 2b813613-045c-435b-9a69-88b5ae0688a9 · outbound

This paper cites Sigmoid loss for language image pre-training.

Learning to Select Visual In-Context Demonstrations Sigmoid loss for language image pre-training

Reference 51

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source=pdf_text observed=2026-08-04T05:46:08.807938Z digest=sha256:13d41a62c4770c4a0f3cd3cd94da441fd412b26e162b213f15fac2ff21318af7

Observation d3d81936-741d-4939-822e-eb5e0150f823 · outbound

This paper cites Sentiment Analysis in the Era of Large Language Models: A Reality Check.

Learning to Select Visual In-Context Demonstrations Sentiment Analysis in the Era of Large Language Models: A Reality Check

Reference 52

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source=pdf_text observed=2026-08-04T05:46:08.884428Z digest=sha256:782405640481d00a580cf0892e7b847ab9414383ab0d3cdb9479a514c06b49d1

Observation 10735e32-ee00-412b-ac4e-a4524f536476 · outbound

This paper cites Active Example Selection for In-Context Learning.

Learning to Select Visual In-Context Demonstrations Active Example Selection for In-Context Learning

Reference 53

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source=pdf_text observed=2026-08-04T05:46:08.963006Z digest=sha256:f878c3361a72f49fe9fc10444a6804c76f403a2f9a0b4b068c0a094ed5b8e2f4

Observation 4551b8d1-c22e-478b-9451-bed232c2f13c · outbound

This paper cites What makes good examples for visual in-context learning?Advances in Neural Information Processing Systems, 36:17773–17794,.

Learning to Select Visual In-Context Demonstrations What makes good examples for visual in-context learning?Advances in Neural Information Processing Systems, 36:17773–17794,

Reference 54

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source=pdf_text observed=2026-08-04T05:46:09.004192Z digest=sha256:295c1cb0638ebb2ba65a365571860ce6efe20652970c2968e4306761bb7d4a74

Observation 8edd0fab-1e2d-45af-ba76-3c87cedc5a76 · outbound

This paper cites Age progres- sion/regression by conditional adversarial autoencoder.

Learning to Select Visual In-Context Demonstrations Age progres- sion/regression by conditional adversarial autoencoder

Reference 55

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source=pdf_text observed=2026-08-04T05:46:09.164187Z digest=sha256:abcbe65c1d8eb59fd9d5585732f5ca858ef9d57d0e5b7c0f7033727763136c56

Observation d5cf3499-e87c-4501-a518-380c5bbbf109 · outbound

This paper cites Learning to Select In-Context Demonstration Preferred by Large Language Model.

Learning to Select Visual In-Context Demonstrations Learning to Select In-Context Demonstration Preferred by Large Language Model

Reference 56

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source=pdf_text observed=2026-08-04T05:46:09.292199Z digest=sha256:cd00f87bc8507bc0ca022790d7b875365a58d6624d8c25193f2094bc38a3f9e3

Observation 4624d63d-39c9-47ec-86ac-47d5c4ceab53 · outbound

This paper cites Visual In-Context Learning for Large Vision-Language Models.

Learning to Select Visual In-Context Demonstrations Visual In-Context Learning for Large Vision-Language Models

Reference 57

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source=pdf_text observed=2026-08-04T05:46:09.450965Z digest=sha256:fface7bbd1868f0f03cfc8587f35728bfeb9cba5212a58c6b3781c20c5d6e291

Observation 45e1fd88-b01e-469d-8c88-a49779a921d4 · outbound

This paper cites Age:< y i >.

Learning to Select Visual In-Context Demonstrations Age:< y i >

Reference 58

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no resolver link, observed 2026-08-04T05:46:09.536909Z

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source=pdf_text observed=2026-08-04T05:46:09.536909Z digest=sha256:710fd96d3ba76019c22faf8da5bab7db10234c6903418e1c0371a928a823f066

Pith citing papers

No inbound Pith citation observations are available.