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Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2510.20888
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VISTA: A Test-Time Self-Improving Video Generation Agent
Paper • 2510.15831 • Published • 20 -
HoloCine: Holistic Generation of Cinematic Multi-Shot Long Video Narratives
Paper • 2510.20822 • Published • 40 -
Video-As-Prompt: Unified Semantic Control for Video Generation
Paper • 2510.20888 • Published • 45
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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
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Emu3.5: Native Multimodal Models are World Learners
Paper • 2510.26583 • Published • 106 -
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
Paper • 2510.20479 • Published • 11 -
A Definition of AGI
Paper • 2510.18212 • Published • 34 -
Video-As-Prompt: Unified Semantic Control for Video Generation
Paper • 2510.20888 • Published • 45
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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 • 63 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 494 -
Fast-dLLM v2: Efficient Block-Diffusion LLM
Paper • 2509.26328 • Published • 54
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Seedance 1.0: Exploring the Boundaries of Video Generation Models
Paper • 2506.09113 • Published • 104 -
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Paper • 2506.08009 • Published • 30 -
Seeing Voices: Generating A-Roll Video from Audio with Mirage
Paper • 2506.08279 • Published • 27 -
PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement
Paper • 2506.07848 • Published • 4
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
Emu3.5: Native Multimodal Models are World Learners
Paper • 2510.26583 • Published • 106 -
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
Paper • 2510.20479 • Published • 11 -
A Definition of AGI
Paper • 2510.18212 • Published • 34 -
Video-As-Prompt: Unified Semantic Control for Video Generation
Paper • 2510.20888 • Published • 45
-
VISTA: A Test-Time Self-Improving Video Generation Agent
Paper • 2510.15831 • Published • 20 -
HoloCine: Holistic Generation of Cinematic Multi-Shot Long Video Narratives
Paper • 2510.20822 • Published • 40 -
Video-As-Prompt: Unified Semantic Control for Video Generation
Paper • 2510.20888 • Published • 45
-
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 • 63 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 494 -
Fast-dLLM v2: Efficient Block-Diffusion LLM
Paper • 2509.26328 • Published • 54
-
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
-
Seedance 1.0: Exploring the Boundaries of Video Generation Models
Paper • 2506.09113 • Published • 104 -
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Paper • 2506.08009 • Published • 30 -
Seeing Voices: Generating A-Roll Video from Audio with Mirage
Paper • 2506.08279 • Published • 27 -
PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement
Paper • 2506.07848 • Published • 4