How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey | Paper Citation Record

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This paper cites Multimodal research in vision and language: A review of current and emerging trends,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Multimodal research in vision and language: A review of current and emerging trends,

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This paper cites Vision+ language applications: A survey,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Vision+ language applications: A survey,

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This paper cites Bottom-up and top-down attention for image captioning and visual question answering,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Bottom-up and top-down attention for image captioning and visual question answering,

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This paper cites Swinbert: End-to-end transformers with sparse attention for video captioning,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Swinbert: End-to-end transformers with sparse attention for video captioning,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Vqa: Visual question answering,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Movieqa: Understanding stories in movies through question- answering,

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This paper cites Context-aware attention network for image-text retrieval,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Context-aware attention network for image-text retrieval,

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This paper cites Fine-grained video-text retrieval with hierarchical graph reasoning,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Fine-grained video-text retrieval with hierarchical graph reasoning,

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

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Visual classification via description from large language models,

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This paper cites Learning concise and descriptive attributes for visual recognition,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Learning concise and descriptive attributes for visual recognition,

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This paper cites Exploring large language models for multi-modal out-of-distribution detection,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Exploring large language models for multi-modal out-of-distribution detection,

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This paper cites Chatgpt-powered hierarchical comparisons for image classification,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Chatgpt-powered hierarchical comparisons for image classification,

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This paper cites Vision-language pre-training: Basics, recent advances, and future trends,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Vision-language pre-training: Basics, recent advances, and future trends,

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This paper cites Show and tell: A neural image caption generator,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Show and tell: A neural image caption generator,

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This paper cites Deep correlation for matching images and text,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Deep correlation for matching images and text,

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This paper cites Draw: A recurrent neural network for image generation,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Draw: A recurrent neural network for image generation,

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This paper cites Memory- attended recurrent network for video captioning,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Memory- attended recurrent network for video captioning,

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This paper cites Heterogeneous memory enhanced multimodal attention model for video question answering,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Heterogeneous memory enhanced multimodal attention model for video question answering,

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This paper cites Mocogan: Decompos- ing motion and content for video generation,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Mocogan: Decompos- ing motion and content for video generation,

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This paper cites Rethinking the bottom-up framework for query-based video localiza- tion,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Rethinking the bottom-up framework for query-based video localiza- tion,

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This paper cites Object detection in 20 years: A survey,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Object detection in 20 years: A survey,

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This paper cites Neural motifs: Scene graph parsing with global context,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Neural motifs: Scene graph parsing with global context,

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This paper cites From recognition to cognition: Visual commonsense reasoning,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey From recognition to cognition: Visual commonsense reasoning,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Visual Entailment: A Novel Task for Fine-Grained Image Understanding

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey The abduction of sherlock holmes: A dataset for visual abductive reasoning,

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This paper cites Breaking common sense: Whoops! a vision-and-language benchmark of synthetic and compositional im- ages,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Breaking common sense: Whoops! a vision-and-language benchmark of synthetic and compositional im- ages,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Let’s think outside the box: Exploring leap-of-thought in large language models with creative humor generation,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey LLaMA: Open and Efficient Foundation Language Models

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Vicuna: An open-source chatbot impressing gpt-4 with 90%* chatgpt quality,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Qwen Technical Report

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Learning transferable visual models from natural language supervision,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Scaling up visual and vision-language representation learning with noisy text supervision,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Vlmo: Unified vision-language pre- training with mixture-of-modality-experts,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey FILIP: Fine-grained Interactive Language-Image Pre-Training

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Visual instruction tuning,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey A Survey of Large Language Models

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey A Comprehensive Overview of Large Language Models

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey A survey on evaluation of large language models,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Large-scale multi-modal pre-trained models: A com- prehensive survey,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Foundational Models Defining a New Era in Vision: A Survey and Outlook

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey A Survey on Multimodal Large Language Models

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey MM-LLMs: Recent Advances in MultiModal Large Language Models

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Vision-language models for vision tasks: A survey,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey LLMs Meet Multimodal Generation and Editing: A Survey

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey ERNIE: Enhanced Representation through Knowledge Integration

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Language mod- els are few-shot learners,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Semi-supervised cross-modal retrieval with label prediction,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Weakly supervised dense event captioning in videos,

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Unsupervised image captioning,

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This paper cites Towards unsupervised image captioning with shared multimodal embeddings,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Towards unsupervised image captioning with shared multimodal embeddings,

Reference 60

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Observation 1bc79c32-a43a-4665-926d-0ea5ddf24a4a · outbound

This paper cites Zerocap: Zero-shot image-to-text generation for visual-semantic arithmetic,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Zerocap: Zero-shot image-to-text generation for visual-semantic arithmetic,

Reference 61

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Observation 1de9018c-e31b-4f18-9c49-fa2fd8f7f403 · outbound

This paper cites Language Models Can See: Plugging Visual Controls in Text Generation.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Language Models Can See: Plugging Visual Controls in Text Generation

Reference 62

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Observation 06928aad-7ea1-4ccd-9ff3-24df7dbc80c4 · outbound

This paper cites Conzic: Controllable zero-shot image captioning by sampling-based polishing,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Conzic: Controllable zero-shot image captioning by sampling-based polishing,

Reference 63

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Observation c4fa8a1e-202f-488d-9e21-1d809851ea6d · outbound

This paper cites MeaCap: Memory-Augmented Zero-shot Image Captioning.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey MeaCap: Memory-Augmented Zero-shot Image Captioning

Reference 64

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Observation f79e658c-c6a3-4275-b3c7-d2721a6cc561 · outbound

This paper cites Text-only training for visual storytelling,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Text-only training for visual storytelling,

Reference 65

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Observation 50cf5717-8a82-4a0f-a8c2-d066e766c04d · outbound

This paper cites Zero-Shot Video Captioning with Evolving Pseudo-Tokens.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Zero-Shot Video Captioning with Evolving Pseudo-Tokens

Reference 66

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Observation ade0ec7a-597a-4360-b8f9-d52de4825d53 · outbound

This paper cites Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment

Reference 67

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Observation 33f3847e-a73c-4d95-b38b-ffb1e24975a7 · outbound

This paper cites CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment

Reference 68

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Observation 91445399-f281-4bb0-aaa1-2d80af804f73 · outbound

This paper cites Towards counterfactual image manipulation via clip,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Towards counterfactual image manipulation via clip,

Reference 69

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Observation 465e523a-e738-4514-8366-aefe48971188 · outbound

This paper cites An empirical study of gpt-3 for few-shot knowledge-based vqa,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey An empirical study of gpt-3 for few-shot knowledge-based vqa,

Reference 70

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Observation 525e4b92-0071-41d0-89d7-dcc4583a17f6 · outbound

This paper cites Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training

Reference 71

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Observation 60c89bcf-60fc-4346-b080-90997eed73af · outbound

This paper cites Language models with image descriptors are strong few-shot video-language learners,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Language models with image descriptors are strong few-shot video-language learners,

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.496115Z

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Observation db0487ce-303f-4a8d-b77b-6d2977114b46 · outbound

This paper cites Language as the Medium: Multimodal Video Classification through text only.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Language as the Medium: Multimodal Video Classification through text only

Reference 73

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:11:56.508315Z

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Observation 01040397-161d-470d-b440-3202c125e6b5 · outbound

This paper cites A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot

Reference 74

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:11:56.486309Z

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Observation a32b45dd-6a49-4ecb-8d6a-4a7ac9906df4 · outbound

This paper cites Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Retrieving-to-Answer: Zero-Shot Video Question Answering with Frozen Large Language Models

Reference 75

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Observation 295e36b9-0db3-4fc6-8ef7-a83019bf49f5 · outbound

This paper cites Text-Only Training for Image Captioning using Noise-Injected CLIP.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Text-Only Training for Image Captioning using Noise-Injected CLIP

Reference 76

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Observation a7fc2b48-b02b-4eb6-aade-2f88c4a4e2cc · outbound

This paper cites I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey I Can't Believe There's No Images! Learning Visual Tasks Using only Language Supervision

Reference 77

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Observation a6ef1573-ff90-4843-9aa7-833e60eea867 · outbound

This paper cites DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey DeCap: Decoding CLIP Latents for Zero-Shot Captioning via Text-Only Training

Reference 78

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Observation 5564bba4-21b8-4a19-9800-9fd834cb580c · outbound

This paper cites From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey From Association to Generation: Text-only Captioning by Unsupervised Cross-modal Mapping

Reference 79

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:11:56.400451Z

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Observation e8d35d51-2e52-48f2-9935-f296ab10917f · outbound

This paper cites Zero-shot Image Captioning by Anchor-augmented Vision-Language Space Alignment.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Zero-shot Image Captioning by Anchor-augmented Vision-Language Space Alignment

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:11:56.377916Z

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Observation 21e5e519-d460-4f18-83e6-26aa7154c4f2 · outbound

This paper cites Transferable decoding with visual entities for zero-shot image captioning,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Transferable decoding with visual entities for zero-shot image captioning,

Reference 81

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Observation 1dde8750-f1fc-4f1c-b7dc-89205ee3b4f7 · outbound

This paper cites Language-free training for zero-shot video grounding,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Language-free training for zero-shot video grounding,

Reference 82

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Observation 7b895ac4-d2b2-4224-9f9e-fff8f3f4666c · outbound

This paper cites CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.551267Z

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Observation 14f7226d-3ea3-4178-97d3-a69d0bcd57cb · outbound

This paper cites Image captioning with multi-context synthetic data,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Image captioning with multi-context synthetic data,

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.556270Z

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Observation 551c90a3-e164-4757-bce3-a4d6b755947b · outbound

This paper cites Improving cross-modal alignment with synthetic pairs for text-only image captioning,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Improving cross-modal alignment with synthetic pairs for text-only image captioning,

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.560774Z

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Observation cb24d4eb-5337-48b7-97d5-be80ac94b343 · outbound

This paper cites FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.565504Z

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Observation 72c2b9e4-9c40-43c3-b8f6-f4e782951e39 · outbound

This paper cites Towards language-free training for text-to-image generation,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Towards language-free training for text-to-image generation,

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.570501Z

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Observation 1e7d941f-6c12-4b9e-90a4-30d6526632be · outbound

This paper cites See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey See, Think, Confirm: Interactive Prompting Between Vision and Language Models for Knowledge-based Visual Reasoning

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.574723Z

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Observation a2289860-351f-43ba-aac1-583212c2a10b · outbound

This paper cites ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models

Reference 89

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:11:56.301186Z

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Observation 098f0d44-7b83-40e2-8474-5d52c8782d03 · outbound

This paper cites DOMINO: A Dual-System for Multi-step Visual Language Reasoning.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey DOMINO: A Dual-System for Multi-step Visual Language Reasoning

Reference 90

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This paper cites IdealGPT: Iteratively decomposing vision and language reasoning via large language models,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey IdealGPT: Iteratively decomposing vision and language reasoning via large language models,

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.588732Z

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Observation 9670f636-c851-4df2-a8c3-24a601df6408 · outbound

This paper cites Good Questions Help Zero-Shot Image Reasoning.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Good Questions Help Zero-Shot Image Reasoning

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.593526Z

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This paper cites The art of SOCRATIC QUESTIONING: Recursive thinking with large language models,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey The art of SOCRATIC QUESTIONING: Recursive thinking with large language models,

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.598411Z

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Observation 2b38e2a4-fbac-4dca-9f5e-b4890fd7db45 · outbound

This paper cites Filling the image information gap for VQA: Prompting large language models to proactively ask questions,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Filling the image information gap for VQA: Prompting large language models to proactively ask questions,

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.602828Z

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Observation 8fb3cfa1-2d26-4465-b9ad-035fa9fb644c · outbound

This paper cites Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Multimodal Multi-Hop Question Answering Through a Conversation Between Tools and Efficiently Finetuned Large Language Models

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.607488Z

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Observation f6e5080b-05b7-40a7-9c26-0962906a8d4a · outbound

This paper cites Learn to explain: Multimodal reasoning via thought chains for science question answering,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Learn to explain: Multimodal reasoning via thought chains for science question answering,

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.612605Z

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Observation 8dd6dd2c-66ee-4dad-b0b4-aad6157d1847 · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Multimodal Chain-of-Thought Reasoning in Language Models

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.616979Z

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Observation bd57b404-b707-4b78-8729-20a2c0ed20ea · outbound

This paper cites T-sciq: Teaching multimodal chain-of-thought reasoning via large language model signals for science question answering,.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey T-sciq: Teaching multimodal chain-of-thought reasoning via large language model signals for science question answering,

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.622299Z

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Observation 170d0af2-a920-4136-be48-68ded2fa38b2 · outbound

This paper cites KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey KAM-CoT: Knowledge Augmented Multimodal Chain-of-Thoughts Reasoning

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.627119Z

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Observation c4cdba88-c0cf-4eb1-a42a-def771209950 · outbound

This paper cites Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models.

How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Measuring and Improving Chain-of-Thought Reasoning in Vision-Language Models

Reference 100

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.632569Z

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