Collection by
Nov 11, 2025
Collections
Discover the best community collections!
Collections including paper arxiv:2511.05271
Collection by
Nov 14, 2025
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DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning
Paper • 2510.15110 • Published • 17 -
PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
Paper • 2510.14528 • Published • 116 -
Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
Paper • 2510.13795 • Published • 59 -
UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
Paper • 2510.13515 • Published • 12
Collection by
13 days ago
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Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 19 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
Collection by
25 days ago
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LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 34 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 27 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 126 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22
Collection by
Nov 20, 2025
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Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
Paper • 2309.15915 • Published • 2 -
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants
Paper • 2310.00653 • Published • 3 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper • 2308.12966 • Published • 11 -
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 19
Collection by
Dec 11, 2025
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Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment
Paper • 2505.10597 • Published -
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
Paper • 2504.05535 • Published • 44 -
nvidia/HelpSteer3
Viewer • Updated • 133k • 2.59k • 95 -
nvidia/Nemotron-RL-instruction_following
Preview • Updated • 102 • 10
Collection by
Nov 11, 2025
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NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
Paper • 2510.08565 • Published • 21 -
Detect Anything via Next Point Prediction
Paper • 2510.12798 • Published • 50 -
PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
Paper • 2510.14528 • Published • 116 -
DeepEyesV2: Toward Agentic Multimodal Model
Paper • 2511.05271 • Published • 44
Collection by
8 days ago
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Gemini Robotics: Bringing AI into the Physical World
Paper • 2503.20020 • Published • 30 -
Magma: A Foundation Model for Multimodal AI Agents
Paper • 2502.13130 • Published • 58 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 51 -
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Paper • 2410.23218 • Published • 49
Collection by
13 days ago
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iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 17 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 55 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 34
Collection by
Jan 12
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23
Collection by
Nov 11, 2025
Collection by
Dec 11, 2025
-
Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment
Paper • 2505.10597 • Published -
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
Paper • 2504.05535 • Published • 44 -
nvidia/HelpSteer3
Viewer • Updated • 133k • 2.59k • 95 -
nvidia/Nemotron-RL-instruction_following
Preview • Updated • 102 • 10
Collection by
Nov 14, 2025
-
DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning
Paper • 2510.15110 • Published • 17 -
PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
Paper • 2510.14528 • Published • 116 -
Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
Paper • 2510.13795 • Published • 59 -
UniME-V2: MLLM-as-a-Judge for Universal Multimodal Embedding Learning
Paper • 2510.13515 • Published • 12
Collection by
Nov 11, 2025
-
NaViL: Rethinking Scaling Properties of Native Multimodal Large Language Models under Data Constraints
Paper • 2510.08565 • Published • 21 -
Detect Anything via Next Point Prediction
Paper • 2510.12798 • Published • 50 -
PaddleOCR-VL: Boosting Multilingual Document Parsing via a 0.9B Ultra-Compact Vision-Language Model
Paper • 2510.14528 • Published • 116 -
DeepEyesV2: Toward Agentic Multimodal Model
Paper • 2511.05271 • Published • 44
Collection by
13 days ago
-
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 19 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
Collection by
8 days ago
-
Gemini Robotics: Bringing AI into the Physical World
Paper • 2503.20020 • Published • 30 -
Magma: A Foundation Model for Multimodal AI Agents
Paper • 2502.13130 • Published • 58 -
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Paper • 2311.05437 • Published • 51 -
OS-ATLAS: A Foundation Action Model for Generalist GUI Agents
Paper • 2410.23218 • Published • 49
Collection by
25 days ago
-
LinFusion: 1 GPU, 1 Minute, 16K Image
Paper • 2409.02097 • Published • 34 -
Phidias: A Generative Model for Creating 3D Content from Text, Image, and 3D Conditions with Reference-Augmented Diffusion
Paper • 2409.11406 • Published • 27 -
Diffusion Models Are Real-Time Game Engines
Paper • 2408.14837 • Published • 126 -
Segment Anything with Multiple Modalities
Paper • 2408.09085 • Published • 22
Collection by
13 days ago
-
iVideoGPT: Interactive VideoGPTs are Scalable World Models
Paper • 2405.15223 • Published • 17 -
Meteor: Mamba-based Traversal of Rationale for Large Language and Vision Models
Paper • 2405.15574 • Published • 55 -
An Introduction to Vision-Language Modeling
Paper • 2405.17247 • Published • 90 -
Matryoshka Multimodal Models
Paper • 2405.17430 • Published • 34
Collection by
Nov 20, 2025
-
Zero-Shot and Few-Shot Video Question Answering with Multi-Modal Prompts
Paper • 2309.15915 • Published • 2 -
Reformulating Vision-Language Foundation Models and Datasets Towards Universal Multimodal Assistants
Paper • 2310.00653 • Published • 3 -
Qwen-VL: A Frontier Large Vision-Language Model with Versatile Abilities
Paper • 2308.12966 • Published • 11 -
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models
Paper • 2309.09958 • Published • 19
Collection by
Jan 12
-
EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
Paper • 2402.04252 • Published • 29 -
Vision Superalignment: Weak-to-Strong Generalization for Vision Foundation Models
Paper • 2402.03749 • Published • 15 -
ScreenAI: A Vision-Language Model for UI and Infographics Understanding
Paper • 2402.04615 • Published • 44 -
EfficientViT-SAM: Accelerated Segment Anything Model Without Performance Loss
Paper • 2402.05008 • Published • 23