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Collections including paper arxiv:2504.17432

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

Models (language)

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs

Paper • 2510.09201 • Published Oct 10 • 49
Similarity-Based Domain Adaptation with LLMs

Paper • 2503.05281 • Published Mar 7
Text Clustering as Classification with LLMs

Paper • 2410.00927 • Published Sep 30, 2024
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs

Paper • 2504.17432 • Published Apr 24 • 40

DeepGlint-AI/UniME-Phi3.5-V-4.2B

Image-Text-to-Text • Updated May 6 • 269 • 7
DeepGlint-AI/UniME-LLaVA-OneVision-7B

Image-Text-to-Text • 8B • Updated May 7 • 32 • 3
DeepGlint-AI/UniME-LLaVA-1.6-7B

Image-Text-to-Text • 8B • Updated May 6 • 61 • 5
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs

Paper • 2504.17432 • Published Apr 24 • 40

UniME is a series of multimodal large language models trained for learning universal multimodal embedding.

DeepGlint-AI/UniME-Phi3.5-V-4.2B

Image-Text-to-Text • Updated May 6 • 269 • 7
DeepGlint-AI/UniME-LLaVA-1.6-7B

Image-Text-to-Text • 8B • Updated May 6 • 61 • 5
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs

Paper • 2504.17432 • Published Apr 24 • 40
DeepGlint-AI/UniME-LLaVA-OneVision-7B

Image-Text-to-Text • 8B • Updated May 7 • 32 • 3

How to Synthesize Text Data without Model Collapse?

Paper • 2412.14689 • Published Dec 19, 2024 • 52
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Paper • 2412.12094 • Published Dec 16, 2024 • 11
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Paper • 2306.07691 • Published Jun 13, 2023 • 12
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform

Paper • 2203.02395 • Published Mar 4, 2022 • 1

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

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 500
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8 • 48
Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Paper • 2509.13683 • Published Sep 17 • 8
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering

Paper • 2509.00798 • Published Aug 31 • 1

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 19
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

Research Papers

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 63
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning

Paper • 2502.15425 • Published Feb 21 • 9
EgoLife: Towards Egocentric Life Assistant

Paper • 2503.03803 • Published Mar 5 • 46
Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 85

about 23 hours ago

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 45
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

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

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

Models (language)

Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs

Paper • 2510.09201 • Published Oct 10 • 49
Similarity-Based Domain Adaptation with LLMs

Paper • 2503.05281 • Published Mar 7
Text Clustering as Classification with LLMs

Paper • 2410.00927 • Published Sep 30, 2024
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs

Paper • 2504.17432 • Published Apr 24 • 40

Less is More: Recursive Reasoning with Tiny Networks

Paper • 2510.04871 • Published Oct 6 • 500
When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs

Paper • 2510.07499 • Published Oct 8 • 48
Improving Context Fidelity via Native Retrieval-Augmented Reasoning

Paper • 2509.13683 • Published Sep 17 • 8
Multimodal Iterative RAG for Knowledge-Intensive Visual Question Answering

Paper • 2509.00798 • Published Aug 31 • 1

DeepGlint-AI/UniME-Phi3.5-V-4.2B

Image-Text-to-Text • Updated May 6 • 269 • 7
DeepGlint-AI/UniME-LLaVA-OneVision-7B

Image-Text-to-Text • 8B • Updated May 7 • 32 • 3
DeepGlint-AI/UniME-LLaVA-1.6-7B

Image-Text-to-Text • 8B • Updated May 6 • 61 • 5
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs

Paper • 2504.17432 • Published Apr 24 • 40

Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations

Paper • 2508.09789 • Published Aug 13 • 5
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents

Paper • 2508.13186 • Published Aug 14 • 19
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents

Paper • 2508.04038 • Published Aug 6 • 1
Prompt Orchestration Markup Language

Paper • 2508.13948 • Published Aug 19 • 48

UniME is a series of multimodal large language models trained for learning universal multimodal embedding.

DeepGlint-AI/UniME-Phi3.5-V-4.2B

Image-Text-to-Text • Updated May 6 • 269 • 7
DeepGlint-AI/UniME-LLaVA-1.6-7B

Image-Text-to-Text • 8B • Updated May 6 • 61 • 5
Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMs

Paper • 2504.17432 • Published Apr 24 • 40
DeepGlint-AI/UniME-LLaVA-OneVision-7B

Image-Text-to-Text • 8B • Updated May 7 • 32 • 3

Research Papers

Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Paper • 2408.03314 • Published Aug 6, 2024 • 63
TAG: A Decentralized Framework for Multi-Agent Hierarchical Reinforcement Learning

Paper • 2502.15425 • Published Feb 21 • 9
EgoLife: Towards Egocentric Life Assistant

Paper • 2503.03803 • Published Mar 5 • 46
Visual-RFT: Visual Reinforcement Fine-Tuning

Paper • 2503.01785 • Published Mar 3 • 85

How to Synthesize Text Data without Model Collapse?

Paper • 2412.14689 • Published Dec 19, 2024 • 52
SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator

Paper • 2412.12094 • Published Dec 16, 2024 • 11
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

Paper • 2306.07691 • Published Jun 13, 2023 • 12
iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform

Paper • 2203.02395 • Published Mar 4, 2022 • 1

about 23 hours ago

LLM Pruning and Distillation in Practice: The Minitron Approach

Paper • 2408.11796 • Published Aug 21, 2024 • 57
TableBench: A Comprehensive and Complex Benchmark for Table Question Answering

Paper • 2408.09174 • Published Aug 17, 2024 • 52
To Code, or Not To Code? Exploring Impact of Code in Pre-training

Paper • 2408.10914 • Published Aug 20, 2024 • 45
Open-FinLLMs: Open Multimodal Large Language Models for Financial Applications

Paper • 2408.11878 • Published Aug 20, 2024 • 63

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