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iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 12 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 53 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 87 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 31
Collections
Discover the best community collections!
Collections including paper arxiv:2412.14475
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ProcessBench: Identifying Process Errors in Mathematical Reasoning
Paper • 2412.06559 • Published • 72 -
Maya: An Instruction Finetuned Multilingual Multimodal Model
Paper • 2412.07112 • Published • 25 -
OpenAI o1 System Card
Paper • 2412.16720 • Published • 29 -
Diving into Self-Evolving Training for Multimodal Reasoning
Paper • 2412.17451 • Published • 41
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Learning to Navigate the Web
Paper • 1812.09195 • Published -
Proposer-Agent-Evaluator(PAE): Autonomous Skill Discovery For Foundation Model Internet Agents
Paper • 2412.13194 • Published • 12 -
GUI Agents: A Survey
Paper • 2412.13501 • Published • 23 -
MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval
Paper • 2412.14475 • Published • 52
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MegaPairs: Massive Data Synthesis For Universal Multimodal Retrieval
Paper • 2412.14475 • Published • 52 -
How to Synthesize Text Data without Model Collapse?
Paper • 2412.14689 • Published • 48 -
Token-Budget-Aware LLM Reasoning
Paper • 2412.18547 • Published • 42 -
WavePulse: Real-time Content Analytics of Radio Livestreams
Paper • 2412.17998 • Published • 9
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Flowing from Words to Pixels: A Framework for Cross-Modality Evolution
Paper • 2412.15213 • Published • 25 -
No More Adam: Learning Rate Scaling at Initialization is All You Need
Paper • 2412.11768 • Published • 41 -
Smarter, Better, Faster, Longer: A Modern Bidirectional Encoder for Fast, Memory Efficient, and Long Context Finetuning and Inference
Paper • 2412.13663 • Published • 117 -
Autoregressive Video Generation without Vector Quantization
Paper • 2412.14169 • Published • 14
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MIT-10M: A Large Scale Parallel Corpus of Multilingual Image Translation
Paper • 2412.07147 • Published • 5 -
Grounding Descriptions in Images informs Zero-Shot Visual Recognition
Paper • 2412.04429 • Published -
Exploring Multi-Grained Concept Annotations for Multimodal Large Language Models
Paper • 2412.05939 • Published • 13 -
Euclid: Supercharging Multimodal LLMs with Synthetic High-Fidelity Visual Descriptions
Paper • 2412.08737 • Published • 52
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Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages
Paper • 2410.16153 • Published • 44 -
AutoTrain: No-code training for state-of-the-art models
Paper • 2410.15735 • Published • 59 -
The Curse of Multi-Modalities: Evaluating Hallucinations of Large Multimodal Models across Language, Visual, and Audio
Paper • 2410.12787 • Published • 31 -
LEOPARD : A Vision Language Model For Text-Rich Multi-Image Tasks
Paper • 2410.01744 • Published • 26
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LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 33 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 26 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 121 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 21
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Multimodal Pathway: Improve Transformers with Irrelevant Data from Other Modalities
Paper • 2401.14405 • Published • 12 -
CharXiv: Charting Gaps in Realistic Chart Understanding in Multimodal LLMs
Paper • 2406.18521 • Published • 28 -
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations
Paper • 2408.12590 • Published • 35 -
Law of Vision Representation in MLLMs
Paper • 2408.16357 • Published • 92
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EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 25 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 12 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 40 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 20