Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models | Paper Citation Record

Observation c8c8c761-ad66-4996-b2ce-87ff1215eb9b · outbound

This paper cites Learning transferable visual models from natural language supervision.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Learning transferable visual models from natural language supervision

Reference 1

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Observation 49d06e05-f51c-4b05-9f73-6163a0c31e9f · outbound

This paper cites LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Reference 2

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Observation 535f3df9-4666-4195-bd9d-62db10446307 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 3

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Observation f337120e-bdcf-4e9d-b258-fbfc93d83714 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Scaling up visual and vision-language representation learning with noisy text supervision

Reference 4

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Observation 444680d6-705b-4c17-91d2-b07e5e8d7d0f · outbound

This paper cites Lit: Zero-shot transfer with locked-image text tuning.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Lit: Zero-shot transfer with locked-image text tuning

Reference 5

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Observation fedcb52c-a8fe-474e-8af8-b00f2394a436 · outbound

This paper cites DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models DALL-E for Detection: Language-driven Compositional Image Synthesis for Object Detection

Reference 6

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Observation ea4060a8-f1bb-4b42-8c49-bdace9083d96 · outbound

This paper cites Zero-shot text-to-image generation.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Zero-shot text-to-image generation

Reference 7

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Observation 63dce2e1-fdfd-4838-bfc9-4936db10418b · outbound

This paper cites A survey on bias and fairness in machine learning.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models A survey on bias and fairness in machine learning

Reference 8

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Observation 950e7d10-0b9b-48e0-8b71-d01cd5288f81 · outbound

This paper cites Task Bias in Vision-Language Models.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Task Bias in Vision-Language Models

Reference 9

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Observation e1bda523-21bc-4b8a-b8b2-d5126c285824 · outbound

This paper cites Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Evaluating CLIP: Towards Characterization of Broader Capabilities and Downstream Implications

Reference 10

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Observation 733d2098-bd7c-456f-b247-911f22669ad5 · outbound

This paper cites Visual classification via description from large language models.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Visual classification via description from large language models

Reference 11

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Observation b3a4d953-ec17-4a30-bfcf-5886d277c139 · outbound

This paper cites Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Just Shift It: Test-Time Prototype Shifting for Zero-Shot Generalization with Vision-Language Models

Reference 12

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Observation 21327a27-b384-4928-b820-05b35c3de49b · outbound

This paper cites Awt: Transferring vision-language models via augmentation, weighting, and transportation.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Awt: Transferring vision-language models via augmentation, weighting, and transportation

Reference 13

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Observation 1d4a1ff4-6500-4f54-8d65-6b795edbab0c · outbound

This paper cites The neglected tails in vision-language models.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models The neglected tails in vision-language models

Reference 14

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Observation d1dd3986-f640-441f-a1c4-83afc3a06ec3 · outbound

This paper cites Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models

Reference 15

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Observation d01b4a18-1960-4149-9125-0e066e4284df · outbound

This paper cites The claude 3 model family: Opus, sonnet, haiku, 2024.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models The claude 3 model family: Opus, sonnet, haiku, 2024

Reference 16

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Observation 37673094-b179-412c-a7d8-72487fa37f80 · outbound

This paper cites GPT-4 Technical Report.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models GPT-4 Technical Report

Reference 17

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Observation d13cb8ba-6a9b-478e-a49d-0433020fb721 · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Emerging properties in self-supervised vision transformers

Reference 18

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Observation 6748b9da-eedd-4c05-986b-5ad593168133 · outbound

This paper cites Automated flower classification over a large number of classes.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Automated flower classification over a large number of classes

Reference 19

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Observation 97f8ab56-a535-4925-91cf-72aaa9062510 · outbound

This paper cites Describing textures in the wild.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Describing textures in the wild

Reference 20

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Observation 350e58c3-6883-4945-ab16-8c10f95562b8 · outbound

This paper cites Cats and dogs.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Cats and dogs

Reference 21

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Observation aa874e91-d946-4842-9a99-44eb59cc262f · outbound

This paper cites 3d object representations for fine-grained categorization.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models 3d object representations for fine-grained categorization

Reference 22

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Observation 30453b8b-c72a-4709-b123-fec286be3094 · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 23

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Observation 84836bb8-79bf-46cc-88e8-80dbed42f68f · outbound

This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

Reference 24

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This paper cites Food-101--mining discriminative components with random forests.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Food-101--mining discriminative components with random forests

Reference 25

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Observation 29dafd16-603a-430d-89e8-bd3f322c4459 · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Sun database: Large-scale scene recognition from abbey to zoo

Reference 26

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Observation fa459683-3112-4396-9c2b-c4b4c9f95477 · outbound

This paper cites Fine-Grained Visual Classification of Aircraft.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Fine-Grained Visual Classification of Aircraft

Reference 27

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This paper cites Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 28

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Observation eb007dc9-b3c0-4b03-87c5-c27d13ee8fb3 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Imagenet: A large-scale hierarchical image database

Reference 29

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Observation 47e34d39-a541-4131-8b4f-a0f5c48a95c1 · outbound

This paper cites Natural adversarial examples.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Natural adversarial examples

Reference 30

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Observation eb5b3199-40b2-4d6f-afcb-874810b4b83f · outbound

This paper cites Do imagenet classifiers generalize to imagenet? In International Conference on Machine Learning, pages 5389--5400.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Do imagenet classifiers generalize to imagenet? In International Conference on Machine Learning, pages 5389--5400

Reference 31

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This paper cites The many faces of robustness: A critical analysis of out-of-distribution generalization.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models The many faces of robustness: A critical analysis of out-of-distribution generalization

Reference 32

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This paper cites Learning robust global representations by penalizing local predictive power.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Learning robust global representations by penalizing local predictive power

Reference 33

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Observation b03099b8-b08a-4c78-942d-f26cb9c98bb9 · outbound

This paper cites Hmdb: a large video database for human motion recognition.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Hmdb: a large video database for human motion recognition

Reference 34

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This paper cites A Short Note about Kinetics-600.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models A Short Note about Kinetics-600

Reference 35

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Observation 51feb682-3833-42f2-9c18-4da66ec5a487 · outbound

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

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Sigmoid loss for language image pre-training

Reference 36

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Observation e6a312fb-d024-40b9-b282-71b5beeada23 · outbound

This paper cites EVA-CLIP: Improved Training Techniques for CLIP at Scale.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models EVA-CLIP: Improved Training Techniques for CLIP at Scale

Reference 37

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This paper cites Language-driven Semantic Segmentation.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Language-driven Semantic Segmentation

Reference 38

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Observation b3b14165-0be8-4381-8f76-d876bfdbbe44 · outbound

This paper cites Learning to prompt for vision-language models.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Learning to prompt for vision-language models

Reference 39

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Observation 563334ef-11ad-4e64-98ec-79d0b536f932 · outbound

This paper cites Conditional prompt learning for vision-language models.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Conditional prompt learning for vision-language models

Reference 40

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Observation 1f9fe65c-d619-4eae-a60a-1b683a003093 · outbound

This paper cites Towards open-vocabulary detection using uncurated images.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Towards open-vocabulary detection using uncurated images

Reference 41

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Observation ac8ad135-8559-48e8-98ee-91830211d1a1 · outbound

This paper cites Open-vocabulary Object Detection via Vision and Language Knowledge Distillation.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Reference 42

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This paper cites Learning to prompt for open-vocabulary object detection with vision-language model.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Learning to prompt for open-vocabulary object detection with vision-language model

Reference 43

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Observation 8793f05a-a5f2-4c71-9e9d-648154d60476 · outbound

This paper cites ActionCLIP: A New Paradigm for Video Action Recognition.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models ActionCLIP: A New Paradigm for Video Action Recognition

Reference 44

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This paper cites Open-vclip: Transforming clip to an open-vocabulary video model via interpolated weight optimization.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Open-vclip: Transforming clip to an open-vocabulary video model via interpolated weight optimization

Reference 45

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Observation 2b572db5-e794-4d38-ab53-ae4b1e2c1363 · outbound

This paper cites FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognition.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action Recognition

Reference 46

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Observation a1b99094-d1aa-4767-bdbd-69d7ab0178db · outbound

This paper cites What does a platypus look like? generating customized prompts for zero-shot image classification.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models What does a platypus look like? generating customized prompts for zero-shot image classification

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:43.214755Z

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Observation e9a25d44-8408-4a80-be51-7484593d9b16 · outbound

This paper cites Language models are few-shot learners.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Language models are few-shot learners

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:42.864740Z

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Observation cdf0e85a-6eaa-46e5-976d-15cfb2d036e0 · outbound

This paper cites Waffling around for performance: Visual classification with random words and broad concepts.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Waffling around for performance: Visual classification with random words and broad concepts

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:42.384859Z

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Observation f7062c60-c7c2-4c5a-aa40-969a595b6f70 · outbound

This paper cites Meta-prompting for automating zero-shot visual recognition with llms.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Meta-prompting for automating zero-shot visual recognition with llms

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:42.022718Z

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Observation 531f865f-dbd1-4d59-9f32-fa0c4dfa01e4 · outbound

This paper cites Test-time prompt tuning for zero-shot generalization in vision-language models.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Test-time prompt tuning for zero-shot generalization in vision-language models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:41.637583Z

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Observation c9e4580d-0947-4b49-9070-272edb50bdbb · outbound

This paper cites Diverse data augmentation with diffusions for effective test-time prompt tuning.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Diverse data augmentation with diffusions for effective test-time prompt tuning

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:41.294760Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 60608a08-bec1-467e-a586-9fb455c11135 · outbound

This paper cites Align your prompts: Test-time prompting with distribution alignment for zero-shot generalization.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Align your prompts: Test-time prompting with distribution alignment for zero-shot generalization

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:40.948684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e9f55bf-d615-43a8-8448-82e2903e6215 · outbound

This paper cites Test-time low rank adaptation via confidence maximization for zero-shot generalization of vision-language models.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Test-time low rank adaptation via confidence maximization for zero-shot generalization of vision-language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:40.702424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be7368a7-1894-4fc1-abe5-fe285db8c13c · outbound

This paper cites Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-05T16:56:29.058468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c467758-f47d-4c81-9811-50d5004900ae · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-05T16:56:29.199766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c53674d8-f7eb-4eec-86a3-d271ebe29060 · outbound

This paper cites Computational homology.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Computational homology

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:40.404753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 59a768ed-b431-4267-8910-35970e90125f · outbound

This paper cites Persistent homology: An introduction and a new text representation for natural language processing.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Persistent homology: An introduction and a new text representation for natural language processing

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:40.044760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 081ff389-8b84-47c8-ac45-d34ebd4e9f64 · outbound

This paper cites Statistics notes: measurement error.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Statistics notes: measurement error

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:39.794839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 27cc522b-b7dc-4cfb-89b6-020148ae89dd · outbound

This paper cites M \'e moire sur la th \'e orie des d \'e blais et des remblais.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models M \'e moire sur la th \'e orie des d \'e blais et des remblais

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:39.344859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 471b29ad-11cb-47a7-9a2c-0e31d5a8936b · outbound

This paper cites On the translocation of masses.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models On the translocation of masses

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:38.965026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 30111325-eaa1-468c-827f-69f862a0c641 · outbound

This paper cites Sinkhorn distances: Lightspeed computation of optimal transport.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Sinkhorn distances: Lightspeed computation of optimal transport

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:38.564863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 51e45676-51e1-4745-9dbc-899aa16c3c01 · outbound

This paper cites What Does BERT Look At? An Analysis of BERT's Attention.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models What Does BERT Look At? An Analysis of BERT's Attention

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-05T16:56:30.457669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a912ac3-f178-480a-b3ae-74df75eedd7b · outbound

This paper cites Maple: Multi-modal prompt learning.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Maple: Multi-modal prompt learning

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:38.225174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 40fa3893-642d-4eb9-95ea-6916435ef972 · outbound

This paper cites Plot: Prompt learning with optimal transport for vision-language models.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Plot: Prompt learning with optimal transport for vision-language models

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:37.922607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fd94c28a-2e24-4521-b32f-07c9ce3acc89 · outbound

This paper cites Prompt pre-training with twenty-thousand classes for open-vocabulary visual recognition.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Prompt pre-training with twenty-thousand classes for open-vocabulary visual recognition

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:37.554832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation d4a41edd-8e2c-42a6-8604-5dd005d8d848 · outbound

This paper cites Progressive visual prompt learning with contrastive feature re-formation.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Progressive visual prompt learning with contrastive feature re-formation

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:37.183790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9c316020-d540-4431-9e06-1130128560b4 · outbound

This paper cites Sus-x: Training-free name-only transfer of vision-language models.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Sus-x: Training-free name-only transfer of vision-language models

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:36.834755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2b9864b4-95cb-4eb0-afba-dd2048b66db8 · outbound

This paper cites Expanding language-image pretrained models for general video recognition.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Expanding language-image pretrained models for general video recognition

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:36.476755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6b8f0241-f31b-45f2-96f2-ba26ab718d33 · outbound

This paper cites Aim: Adapting image models for efficient video action recognition.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Aim: Adapting image models for efficient video action recognition

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:36.140739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fc34f552-a61e-456b-b4ff-5c4dd2b87957 · outbound

This paper cites St-adapter: Parameter-efficient image-to-video transfer learning.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models St-adapter: Parameter-efficient image-to-video transfer learning

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:35.846629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c808adf0-bcd8-4696-bf77-50815d56bdbd · outbound

This paper cites Vita-clip: Video and text adaptive clip via multimodal prompting.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Vita-clip: Video and text adaptive clip via multimodal prompting

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:35.409624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 60937bb5-9db1-428a-a577-1e93083869f0 · outbound

This paper cites Fine-tuned clip models are efficient video learners.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Fine-tuned clip models are efficient video learners

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:35.131472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ba7ae1bd-fa9a-45bf-b5c0-168f32c2102f · outbound

This paper cites Adaptformer: Adapting vision transformers for scalable visual recognition.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Adaptformer: Adapting vision transformers for scalable visual recognition

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:34.768234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b42dd996-929f-4482-a95b-15e75df6ba26 · outbound

This paper cites Reproducible scaling laws for contrastive language-image learning.

Constrained Prompt Enhancement for Improving Zero-Shot Generalization of Vision-Language Models Reproducible scaling laws for contrastive language-image learning

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T16:56:34.484053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Reference resolution

Outbound references

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