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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 • 18 -
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
Collections
Discover the best community collections!
Collections including paper arxiv:2510.18212
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ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
Paper • 2510.22037 • Published • 16 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 462 -
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
Paper • 2509.26507 • Published • 521 -
Scaling Language-Centric Omnimodal Representation Learning
Paper • 2510.11693 • Published • 97
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HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video
Paper • 2510.05560 • Published • 7 -
TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
Paper • 2510.06217 • Published • 62 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 462 -
Fast-dLLM v2: Efficient Block-Diffusion LLM
Paper • 2509.26328 • Published • 49
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Emu3.5: Native Multimodal Models are World Learners
Paper • 2510.26583 • Published • 73 -
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
Paper • 2510.20479 • Published • 11 -
A Definition of AGI
Paper • 2510.18212 • Published • 33 -
Video-As-Prompt: Unified Semantic Control for Video Generation
Paper • 2510.20888 • Published • 41
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Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 462 -
SpikingBrain Technical Report: Spiking Brain-inspired Large Models
Paper • 2509.05276 • Published • 3 -
Self-Adapting Language Models
Paper • 2506.10943 • Published • 6 -
The Art of Scaling Reinforcement Learning Compute for LLMs
Paper • 2510.13786 • Published • 30
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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 • 18 -
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
-
Emu3.5: Native Multimodal Models are World Learners
Paper • 2510.26583 • Published • 73 -
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
Paper • 2510.20479 • Published • 11 -
A Definition of AGI
Paper • 2510.18212 • Published • 33 -
Video-As-Prompt: Unified Semantic Control for Video Generation
Paper • 2510.20888 • Published • 41
-
ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
Paper • 2510.22037 • Published • 16 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 462 -
The Dragon Hatchling: The Missing Link between the Transformer and Models of the Brain
Paper • 2509.26507 • Published • 521 -
Scaling Language-Centric Omnimodal Representation Learning
Paper • 2510.11693 • Published • 97
-
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 462 -
SpikingBrain Technical Report: Spiking Brain-inspired Large Models
Paper • 2509.05276 • Published • 3 -
Self-Adapting Language Models
Paper • 2506.10943 • Published • 6 -
The Art of Scaling Reinforcement Learning Compute for LLMs
Paper • 2510.13786 • Published • 30
-
HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video
Paper • 2510.05560 • Published • 7 -
TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
Paper • 2510.06217 • Published • 62 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 462 -
Fast-dLLM v2: Efficient Block-Diffusion LLM
Paper • 2509.26328 • Published • 49