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Can Large Language Models Understand Context?
Paper β’ 2402.00858 β’ Published β’ 23 -
OLMo: Accelerating the Science of Language Models
Paper β’ 2402.00838 β’ Published β’ 85 -
Self-Rewarding Language Models
Paper β’ 2401.10020 β’ Published β’ 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper β’ 2401.17072 β’ Published β’ 25
Collections
Discover the best community collections!
Collections including paper arxiv:2504.08685
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Seedance 1.0: Exploring the Boundaries of Video Generation Models
Paper β’ 2506.09113 β’ Published β’ 104 -
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Paper β’ 2506.08009 β’ Published β’ 30 -
Seeing Voices: Generating A-Roll Video from Audio with Mirage
Paper β’ 2506.08279 β’ Published β’ 27 -
PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement
Paper β’ 2506.07848 β’ Published β’ 4
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Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
Paper β’ 2504.08685 β’ Published β’ 130 -
MegaTTS3 Demo
π93 -
UI-TARS: Pioneering Automated GUI Interaction with Native Agents
Paper β’ 2501.12326 β’ Published β’ 65 -
VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning
Paper β’ 2503.13444 β’ Published β’ 17
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Can Large Language Models Understand Context?
Paper β’ 2402.00858 β’ Published β’ 23 -
OLMo: Accelerating the Science of Language Models
Paper β’ 2402.00838 β’ Published β’ 85 -
Self-Rewarding Language Models
Paper β’ 2401.10020 β’ Published β’ 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper β’ 2401.17072 β’ Published β’ 25
-
Seedance 1.0: Exploring the Boundaries of Video Generation Models
Paper β’ 2506.09113 β’ Published β’ 104 -
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion
Paper β’ 2506.08009 β’ Published β’ 30 -
Seeing Voices: Generating A-Roll Video from Audio with Mirage
Paper β’ 2506.08279 β’ Published β’ 27 -
PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement
Paper β’ 2506.07848 β’ Published β’ 4
-
Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model
Paper β’ 2504.08685 β’ Published β’ 130 -
MegaTTS3 Demo
π93 -
UI-TARS: Pioneering Automated GUI Interaction with Native Agents
Paper β’ 2501.12326 β’ Published β’ 65 -
VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning
Paper β’ 2503.13444 β’ Published β’ 17