DataBubble·
Model Detail
LTX-2.3
▲ 0.7%Provider: LightricksCategory: imagePipeline: image-to-video
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Research Paper
Latest
Advantage-Guided Diffusion for Model-Based Reinforcement Learning3h◆FluidFlow: a flow-matching generative model for fluid dynamics surrogates on unstructured meshes3h◆HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help?3h◆E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning3h◆Process Reward Agents for Steering Knowledge-Intensive Reasoning3h◆STIndex: A Context-Aware Multi-Dimensional Spatiotemporal Information Extraction System3h◆Drift and selection in LLM text ecosystems3h◆Joint Interference Detection and Identification via Adversarial Multi-task Learning3h◆AlphaLab: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs3h◆Detection of Hate and Threat in Digital Forensics: A Case-Driven Multimodal Approach3h◆MixFlow: Mixed Source Distributions Improve Rectified Flows3h◆MARINER: A 3E-Driven Benchmark for Fine-Grained Perception and Complex Reasoning in Open-Water Environments3h◆SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support3h◆Mapping generative AI use in the human brain: divergent neural, academic, and mental health profiles of functional versus socio emotional AI use3h◆Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation3h◆TiAb Review Plugin: A Browser-Based Tool for AI-Assisted Title and Abstract Screening3h◆LEGO: Latent-space Exploration for Geometry-aware Optimization of Humanoid Kinematic Design3h◆VOLTA: The Surprising Ineffectiveness of Auxiliary Losses for Calibrated Deep Learning3h◆3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding3h◆Deep Learning-Based Tracking and Lineage Reconstruction of Ligament Breakup3h◆Advantage-Guided Diffusion for Model-Based Reinforcement Learning3h◆FluidFlow: a flow-matching generative model for fluid dynamics surrogates on unstructured meshes3h◆HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help?3h◆E3-TIR: Enhanced Experience Exploitation for Tool-Integrated Reasoning3h◆Process Reward Agents for Steering Knowledge-Intensive Reasoning3h◆STIndex: A Context-Aware Multi-Dimensional Spatiotemporal Information Extraction System3h◆Drift and selection in LLM text ecosystems3h◆Joint Interference Detection and Identification via Adversarial Multi-task Learning3h◆AlphaLab: Autonomous Multi-Agent Research Across Optimization Domains with Frontier LLMs3h◆Detection of Hate and Threat in Digital Forensics: A Case-Driven Multimodal Approach3h◆MixFlow: Mixed Source Distributions Improve Rectified Flows3h◆MARINER: A 3E-Driven Benchmark for Fine-Grained Perception and Complex Reasoning in Open-Water Environments3h◆SkillForge: Forging Domain-Specific, Self-Evolving Agent Skills in Cloud Technical Support3h◆Mapping generative AI use in the human brain: divergent neural, academic, and mental health profiles of functional versus socio emotional AI use3h◆Evidential Transformation Network: Turning Pretrained Models into Evidential Models for Post-hoc Uncertainty Estimation3h◆TiAb Review Plugin: A Browser-Based Tool for AI-Assisted Title and Abstract Screening3h◆LEGO: Latent-space Exploration for Geometry-aware Optimization of Humanoid Kinematic Design3h◆VOLTA: The Surprising Ineffectiveness of Auxiliary Losses for Calibrated Deep Learning3h◆3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding3h◆Deep Learning-Based Tracking and Lineage Reconstruction of Ligament Breakup3h◆
