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Collections including paper arxiv:2508.14160

SpatialLM: Training Large Language Models for Structured Indoor Modeling

Paper • 2506.07491 • Published Jun 9 • 50
RynnEC: Bringing MLLMs into Embodied World

Paper • 2508.14160 • Published Aug 19 • 19
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14 • 303

RynnEC: Bringing MLLMs into Embodied World

Paper • 2508.14160 • Published Aug 19 • 19

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

Paper • 2508.07407 • Published Aug 10 • 98
RynnEC: Bringing MLLMs into Embodied World

Paper • 2508.14160 • Published Aug 19 • 19

Runtime error

7

RynnEC

👁

7

Generate masks and answers for video frames
Alibaba-DAMO-Academy/RynnEC-2B

2B • Updated Aug 26 • 53 • 10
Alibaba-DAMO-Academy/RynnEC-7B

8B • Updated Aug 26 • 8 • 31
Alibaba-DAMO-Academy/RynnEC-Bench

Updated Oct 15 • 218 • 4

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

LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos

Paper • 2508.14041 • Published Aug 19 • 59
RynnEC: Bringing MLLMs into Embodied World

Paper • 2508.14160 • Published Aug 19 • 19

RynnEC: Bringing MLLMs into Embodied World

Paper • 2508.14160 • Published Aug 19 • 19
MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer

Paper • 2509.16197 • Published Sep 19 • 56

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 • 18
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

GRUtopia: Dream General Robots in a City at Scale

Paper • 2407.10943 • Published Jul 15, 2024 • 25
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion

Paper • 2407.10973 • Published Jul 15, 2024 • 11
Cross Anything: General Quadruped Robot Navigation through Complex Terrains

Paper • 2407.16412 • Published Jul 23, 2024 • 6
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands

Paper • 2408.11048 • Published Aug 20, 2024 • 4

SpatialLM: Training Large Language Models for Structured Indoor Modeling

Paper • 2506.07491 • Published Jun 9 • 50
RynnEC: Bringing MLLMs into Embodied World

Paper • 2508.14160 • Published Aug 19 • 19
InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Paper • 2504.10479 • Published Apr 14 • 303

LongSplat: Robust Unposed 3D Gaussian Splatting for Casual Long Videos

Paper • 2508.14041 • Published Aug 19 • 59
RynnEC: Bringing MLLMs into Embodied World

Paper • 2508.14160 • Published Aug 19 • 19

RynnEC: Bringing MLLMs into Embodied World

Paper • 2508.14160 • Published Aug 19 • 19

RynnEC: Bringing MLLMs into Embodied World

Paper • 2508.14160 • Published Aug 19 • 19
MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer

Paper • 2509.16197 • Published Sep 19 • 56

A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems

Paper • 2508.07407 • Published Aug 10 • 98
RynnEC: Bringing MLLMs into Embodied World

Paper • 2508.14160 • Published Aug 19 • 19

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 • 18
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

Runtime error

7

RynnEC

👁

7

Generate masks and answers for video frames
Alibaba-DAMO-Academy/RynnEC-2B

2B • Updated Aug 26 • 53 • 10
Alibaba-DAMO-Academy/RynnEC-7B

8B • Updated Aug 26 • 8 • 31
Alibaba-DAMO-Academy/RynnEC-Bench

Updated Oct 15 • 218 • 4

GRUtopia: Dream General Robots in a City at Scale

Paper • 2407.10943 • Published Jul 15, 2024 • 25
Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion

Paper • 2407.10973 • Published Jul 15, 2024 • 11
Cross Anything: General Quadruped Robot Navigation through Complex Terrains

Paper • 2407.16412 • Published Jul 23, 2024 • 6
RP1M: A Large-Scale Motion Dataset for Piano Playing with Bi-Manual Dexterous Robot Hands

Paper • 2408.11048 • Published Aug 20, 2024 • 4

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

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