FILIP: Fine-grained Interactive Language-Image Pre-Training | Paper Citation Record

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Florence: A New Foundation Model for Computer Vision cites this paper.

Florence: A New Foundation Model for Computer Vision FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:38:09.582884Z

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Flamingo: a Visual Language Model for Few-Shot Learning cites this paper.

Flamingo: a Visual Language Model for Few-Shot Learning FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 139

Resolution: verified exact; arxiv_id, observed 2026-05-12T04:22:30.453088Z

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CoCa: Contrastive Captioners are Image-Text Foundation Models cites this paper.

CoCa: Contrastive Captioners are Image-Text Foundation Models FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-15T10:53:08.484747Z

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DetailCLIP: Injecting Image Details into CLIP's Feature Space cites this paper.

DetailCLIP: Injecting Image Details into CLIP's Feature Space FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-24T11:09:22.391885Z

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InternVideo: General Video Foundation Models via Generative and Discriminative Learning cites this paper.

InternVideo: General Video Foundation Models via Generative and Discriminative Learning FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:36:53.293435Z

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VideoChat: Chat-Centric Video Understanding cites this paper.

VideoChat: Chat-Centric Video Understanding FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:30:00.687974Z

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InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation cites this paper.

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:30:22.575279Z

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LPT: Less-overfitting Prompt Tuning for Vision-Language Model cites this paper.

LPT: Less-overfitting Prompt Tuning for Vision-Language Model FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-23T19:05:47.187508Z

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Observation 8d34c447-ea31-418c-88bb-2644885dfc7a · inbound

AstroM$^3$: A self-supervised multimodal model for astronomy cites this paper.

AstroM$^3$: A self-supervised multimodal model for astronomy FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 46

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Dissecting Representation Misalignment in Contrastive Learning via Influence Function cites this paper.

Dissecting Representation Misalignment in Contrastive Learning via Influence Function FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 14

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FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training cites this paper.

FLAME: Frozen Large Language Models Enable Data-Efficient Language-Image Pre-training FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 56

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Simplifying CLIP: Unleashing the Power of Large-Scale Models on Consumer-level Computers cites this paper.

Simplifying CLIP: Unleashing the Power of Large-Scale Models on Consumer-level Computers FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 4

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Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training cites this paper.

Uni-Mlip: Unified Self-supervision for Medical Vision Language Pre-training FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 43

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ResCLIP: Residual Attention for Training-free Dense Vision-language Inference cites this paper.

ResCLIP: Residual Attention for Training-free Dense Vision-language Inference FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 55

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Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models cites this paper.

Style-Pro: Style-Guided Prompt Learning for Generalizable Vision-Language Models FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 46

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Leveraging the Power of MLLMs for Gloss-Free Sign Language Translation cites this paper.

Leveraging the Power of MLLMs for Gloss-Free Sign Language Translation FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 60

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CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions cites this paper.

CLIPS: An Enhanced CLIP Framework for Learning with Synthetic Captions FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 51

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CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections cites this paper.

CLIP meets DINO for Tuning Zero-Shot Classifier using Unlabeled Image Collections FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-12T10:20:26.899763Z

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CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives cites this paper.

CAREL: Instruction-guided reinforcement learning with cross-modal auxiliary objectives FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 29

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FLAIR: VLM with Fine-grained Language-informed Image Representations cites this paper.

FLAIR: VLM with Fine-grained Language-informed Image Representations FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-11T22:19:06.895716Z

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Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling cites this paper.

Retaining and Enhancing Pre-trained Knowledge in Vision-Language Models with Prompt Ensembling FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T19:15:01.549245Z

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AmCLR: Unified Augmented Learning for Cross-Modal Representations cites this paper.

AmCLR: Unified Augmented Learning for Cross-Modal Representations FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 19

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How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey cites this paper.

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

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T18:11:54.315913Z

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Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves cites this paper.

Skip Tuning: Pre-trained Vision-Language Models are Effective and Efficient Adapters Themselves FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 34

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ProtCLIP: Function-Informed Protein Multi-Modal Learning cites this paper.

ProtCLIP: Function-Informed Protein Multi-Modal Learning FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 47

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LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models cites this paper.

LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 65

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UniCoRN: Unified Commented Retrieval Network with LMMs cites this paper.

UniCoRN: Unified Commented Retrieval Network with LMMs FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 89

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Decoupled Global-Local Alignment for Improving Compositional Understanding cites this paper.

Decoupled Global-Local Alignment for Improving Compositional Understanding FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 68

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HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights cites this paper.

HiPerRAG: High-Performance Retrieval Augmented Generation for Scientific Insights FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T23:24:46.762569Z

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MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models cites this paper.

MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 4

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GeoMM: On Geodesic Perspective for Multi-modal Learning cites this paper.

GeoMM: On Geodesic Perspective for Multi-modal Learning FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 99

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CRISP: Clustering Multi-Vector Representations for Denoising and Pruning cites this paper.

CRISP: Clustering Multi-Vector Representations for Denoising and Pruning FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 29

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DPSeg: Dual-Prompt Cost Volume Learning for Open-Vocabulary Semantic Segmentation cites this paper.

DPSeg: Dual-Prompt Cost Volume Learning for Open-Vocabulary Semantic Segmentation FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 58

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Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping cites this paper.

Sat2Sound: A Unified Framework for Zero-Shot Soundscape Mapping FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:41:36.652595Z

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When VLMs Meet Image Classification: Test Sets Renovation via Missing Label Identification cites this paper.

When VLMs Meet Image Classification: Test Sets Renovation via Missing Label Identification FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 51

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RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language cites this paper.

RAVEN: Query-Guided Representation Alignment for Question Answering over Audio, Video, Embedded Sensors, and Natural Language FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 84

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Rethinking Causal Mask Attention for Vision-Language Inference cites this paper.

Rethinking Causal Mask Attention for Vision-Language Inference FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 46

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DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models cites this paper.

DiSa: Directional Saliency-Aware Prompt Learning for Generalizable Vision-Language Models FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 42

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ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval cites this paper.

ConText-CIR: Learning from Concepts in Text for Composed Image Retrieval FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 71

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Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation cites this paper.

Target Semantics Clustering via Text Representations for Robust Universal Domain Adaptation FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 58

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FREE: Fast and Robust Vision Language Models with Early Exits cites this paper.

FREE: Fast and Robust Vision Language Models with Early Exits FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 66

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Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency cites this paper.

Dynamic Modality Scheduling for Multimodal Large Models via Confidence, Uncertainty, and Semantic Consistency FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 18

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Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes? cites this paper.

Argus Inspection: Do Multimodal Large Language Models Possess the Eye of Panoptes? FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 71

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Multimodal Medical Image Binding via Shared Text Embeddings cites this paper.

Multimodal Medical Image Binding via Shared Text Embeddings FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 52

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Global and Local Entailment Learning for Natural World Imagery cites this paper.

Global and Local Entailment Learning for Natural World Imagery FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 46

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On the rankability of visual embeddings cites this paper.

On the rankability of visual embeddings FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 63

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FIX-CLIP: Dual-Branch Hierarchical Contrastive Learning via Synthetic Captions for Better Understanding of Long Text cites this paper.

FIX-CLIP: Dual-Branch Hierarchical Contrastive Learning via Synthetic Captions for Better Understanding of Long Text FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 58

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MSGCoOp: Multiple Semantic-Guided Context Optimization for Few-Shot Learning cites this paper.

MSGCoOp: Multiple Semantic-Guided Context Optimization for Few-Shot Learning FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 34

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Observation 69b7ccce-4d7c-41f6-b11a-f4bcb7231546 · inbound

Modality-Aware Feature Matching in Visual and Vision-Language Applications: A Comprehensive Survey cites this paper.

Modality-Aware Feature Matching in Visual and Vision-Language Applications: A Comprehensive Survey FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 226

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Adapting Vision-Language Models Without Labels: A Comprehensive Survey cites this paper.

Adapting Vision-Language Models Without Labels: A Comprehensive Survey FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 43

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AttriPrompt: Dynamic Prompt Composition Learning for CLIP cites this paper.

AttriPrompt: Dynamic Prompt Composition Learning for CLIP FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 39

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On the Provable Importance of Gradients for Language-Assisted Image Clustering cites this paper.

On the Provable Importance of Gradients for Language-Assisted Image Clustering FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-25T07:35:29.635355Z

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Attention Grounded Enhancement for Visual Document Retrieval cites this paper.

Attention Grounded Enhancement for Visual Document Retrieval FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:55:15.314742Z

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Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning cites this paper.

Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T19:41:35.073555Z

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Observation a7f74b3d-5bc3-4bf8-926b-8b40bd2cf6d7 · inbound

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition cites this paper.

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-15T13:15:50.577358Z

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Observation 1fa4fc50-24b3-4829-ad7b-5031b6650632 · inbound

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition cites this paper.

WikiCLIP: An Efficient Contrastive Baseline for Open-domain Visual Entity Recognition FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-14T23:55:24.006436Z

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Unavailable: canonical work link unavailable.

Observation d292c2d8-336a-43b3-80d5-44e76beb8772 · inbound

Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference cites this paper.

Revisiting Compositionality in Dual-Encoder Vision-Language Models: The Role of Inference FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:26:01.808588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ffa69be8-970c-43ce-b060-40900efc81b8 · inbound

MApLe: Multi-instance Alignment of Diagnostic Reports and Large Medical Images cites this paper.

MApLe: Multi-instance Alignment of Diagnostic Reports and Large Medical Images FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:26.375166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e47a07f3-5fe6-4557-860a-1b6f3f1911fe · inbound

G-MIXER: Geodesic Mixup-based Implicit Semantic Expansion and Explicit Semantic Re-ranking for Zero-Shot Composed Image Retrieval cites this paper.

G-MIXER: Geodesic Mixup-based Implicit Semantic Expansion and Explicit Semantic Re-ranking for Zero-Shot Composed Image Retrieval FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:50:19.936226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 51116604-23c3-45d9-9f87-95a5e3786c6f · inbound

Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning cites this paper.

Joint Semantic Token Selection and Prompt Optimization for Interpretable Prompt Learning FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:21:08.369925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8a8a828c-4b96-4f39-9789-f04baf8c659c · inbound

Look Beyond Saliency: Low-Attention Guided Dual Encoding for Video Semantic Search cites this paper.

Look Beyond Saliency: Low-Attention Guided Dual Encoding for Video Semantic Search FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T18:51:07.806567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 81dc42ca-f89f-4d22-9fc7-e63ce45a8ce6 · inbound

Zero-Shot Chinese Character Recognition via Global-Local Dual-Branch Alignment and Hierarchical Inference cites this paper.

Zero-Shot Chinese Character Recognition via Global-Local Dual-Branch Alignment and Hierarchical Inference FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:31:27.287942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7764adf1-8b35-47b7-850b-823adbea6315 · inbound

Thermal-Det: Language-Guided Cross-Modal Distillation for Open-Vocabulary Thermal Object Detection cites this paper.

Thermal-Det: Language-Guided Cross-Modal Distillation for Open-Vocabulary Thermal Object Detection FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:26:19.251633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2555d6d5-57f1-4b73-bb1a-4715cd7b8f65 · inbound

Cluster-Aware Neural Collapse Prompt Tuning for Long-Tailed Generalization of Vision-Language Models cites this paper.

Cluster-Aware Neural Collapse Prompt Tuning for Long-Tailed Generalization of Vision-Language Models FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:57:22.557394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 434480b4-1d01-4c68-a1c3-c492c53ada42 · inbound

Neutral-Reference Prompting for Vision-Language Models cites this paper.

Neutral-Reference Prompting for Vision-Language Models FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:18:54.570655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e4d049c0-dbf6-4f4b-966f-21c2cd4be757 · inbound

See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding cites this paper.

See What I Mean: Aligning Vision and Language Representations for Video Fine-grained Object Understanding FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 83

Resolution: verified exact; arxiv_id, observed 2026-05-20T12:13:16.219272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 33708721-13b5-468a-8a68-4aed6827ca90 · inbound

Closed-Loop Bidirectional Prompting for Adversarial Robustness of Vision Language Models cites this paper.

Closed-Loop Bidirectional Prompting for Adversarial Robustness of Vision Language Models FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-06-29T22:44:01.418341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 30cbd54a-dd56-4b46-8408-ea7436258751 · inbound

LARE: Low-Attention Region Encoding for Text-Image Retrieval cites this paper.

LARE: Low-Attention Region Encoding for Text-Image Retrieval FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:09:15.213914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e0994651-052d-49b9-90dc-93bc2c9e2906 · inbound

Multi-Vector Embeddings are Provably More Expressive than Single Vector Embeddings cites this paper.

Multi-Vector Embeddings are Provably More Expressive than Single Vector Embeddings FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:39:49.797760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8a4cf79a-e396-4fed-ab52-d5483a6b56f3 · inbound

Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning cites this paper.

Combating Textual Noise and Redundancy: Entropy-Aware Dense Visual Token Pruning FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:48:32.418042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7172ae34-e34a-4300-b63a-66b73dd6694c · inbound

SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs cites this paper.

SAMPLe: SAM-based Optimizer for Prompt Learning in VLMs FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 42

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T03:07:53.355970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 89035cf7-a9c1-43be-81c4-a70c68d4366d · inbound

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks cites this paper.

Multimodal Unlearning Across Vision, Language, Video, and Audio: Survey of Methods, Datasets, and Benchmarks FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 44

Resolution: metadata mismatch; local_arxiv, observed 2026-07-10T15:47:23.353134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f8392932-71c2-4c4c-acea-841098fe600c · inbound

FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision cites this paper.

FineMoLA: Towards Fine-Grained Motion-Language Alignment from Clip-Level Supervision FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T00:18:11.969697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8461ec2a-4129-4a40-a87d-e7149cd3afe5 · inbound

MRBench: A Comprehensive Benchmark for Human Motion-Text Retrieval cites this paper.

MRBench: A Comprehensive Benchmark for Human Motion-Text Retrieval FILIP: Fine-grained Interactive Language-Image Pre-Training

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-12T00:39:25.491006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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