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Collections including paper arxiv:2411.04952

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models

Paper • 2411.05005 • Published Nov 7, 2024 • 13
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models

Paper • 2411.04075 • Published Nov 6, 2024 • 16
Self-Consistency Preference Optimization

Paper • 2411.04109 • Published Nov 6, 2024 • 19

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval

Paper • 2412.15443 • Published Dec 19, 2024 • 10
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations

Paper • 2504.00824 • Published Apr 1, 2025 • 43

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation

Paper • 2412.10704 • Published Dec 14, 2024 • 16
M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

Paper • 2410.10594 • Published Oct 14, 2024 • 28

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29
vidore/colpali

Visual Document Retrieval • Updated Nov 24, 2025 • 6.5k • 470

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems

Paper • 2411.02959 • Published Nov 5, 2024 • 71
"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization

Paper • 2411.02355 • Published Nov 4, 2024 • 51
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

Paper • 2410.23090 • Published Oct 30, 2024 • 55
RARe: Retrieval Augmented Retrieval with In-Context Examples

Paper • 2410.20088 • Published Oct 26, 2024 • 4

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs

Paper • 2404.15676 • Published Apr 24, 2024
How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior

Paper • 2404.10198 • Published Apr 16, 2024 • 8
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 72
FaaF: Facts as a Function for the evaluation of RAG systems

Paper • 2403.03888 • Published Mar 6, 2024

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters

Paper • 2402.04252 • Published Feb 6, 2024 • 29
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models

Paper • 2402.03749 • Published Feb 6, 2024 • 14
ScreenAI: A Vision-Language Model for UI and Infographics Understanding

Paper • 2402.04615 • Published Feb 7, 2024 • 44
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss

Paper • 2402.05008 • Published Feb 7, 2024 • 23

VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation

Paper • 2412.10704 • Published Dec 14, 2024 • 16
M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29
VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents

Paper • 2410.10594 • Published Oct 14, 2024 • 28

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29
Diff-2-in-1: Bridging Generation and Dense Perception with Diffusion Models

Paper • 2411.05005 • Published Nov 7, 2024 • 13
M3SciQA: A Multi-Modal Multi-Document Scientific QA Benchmark for Evaluating Foundation Models

Paper • 2411.04075 • Published Nov 6, 2024 • 16
Self-Consistency Preference Optimization

Paper • 2411.04109 • Published Nov 6, 2024 • 19

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29
SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval

Paper • 2412.15443 • Published Dec 19, 2024 • 10
ScholarCopilot: Training Large Language Models for Academic Writing with Accurate Citations

Paper • 2504.00824 • Published Apr 1, 2025 • 43

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29
vidore/colpali

Visual Document Retrieval • Updated Nov 24, 2025 • 6.5k • 470

M3DocRAG: Multi-modal Retrieval is What You Need for Multi-page Multi-document Understanding

Paper • 2411.04952 • Published Nov 7, 2024 • 29

HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems

Paper • 2411.02959 • Published Nov 5, 2024 • 71
"Give Me BF16 or Give Me Death"? Accuracy-Performance Trade-Offs in LLM Quantization

Paper • 2411.02355 • Published Nov 4, 2024 • 51
CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmentation Generation

Paper • 2410.23090 • Published Oct 30, 2024 • 55
RARe: Retrieval Augmented Retrieval with In-Context Examples

Paper • 2410.20088 • Published Oct 26, 2024 • 4

LinFusion: 1 GPU, 1 Minute, 16K Image

Paper • 2409.02097 • Published Sep 3, 2024 • 34
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion

Paper • 2409.11406 • Published Sep 17, 2024 • 27
Diffusion Models Are Real-Time Game Engines

Paper • 2408.14837 • Published Aug 27, 2024 • 126
Segment Anything with Multiple Modalities

Paper • 2408.09085 • Published Aug 17, 2024 • 22

Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs

Paper • 2404.15676 • Published Apr 24, 2024
How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior

Paper • 2404.10198 • Published Apr 16, 2024 • 8
RAFT: Adapting Language Model to Domain Specific RAG

Paper • 2403.10131 • Published Mar 15, 2024 • 72
FaaF: Facts as a Function for the evaluation of RAG systems

Paper • 2403.03888 • Published Mar 6, 2024

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