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Showing 5226–5250 of 177340 papers

TitleStatusHype
Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning and Diffusion PriorsCode2
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-TuningCode2
LangProp: A code optimization framework using Large Language Models applied to drivingCode2
g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in MandarinCode2
DualBEV: Unifying Dual View Transformation with Probabilistic CorrespondencesCode2
Optimal Flow Matching: Learning Straight Trajectories in Just One StepCode2
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object DetectionCode2
Scaling Diffusion Transformers Efficiently via μPCode2
Ontology Embedding: A Survey of Methods, Applications and ResourcesCode2
Progressive Rendering Distillation: Adapting Stable Diffusion for Instant Text-to-Mesh Generation without 3D DataCode2
Segment and Caption AnythingCode2
Multi-Scale Representations by Varying Window Attention for Semantic SegmentationCode2
Heterogeneous Multi-Robot Reinforcement LearningCode2
FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence InferenceCode2
TRADES: Generating Realistic Market Simulations with Diffusion ModelsCode2
Learning to Compress Prompts with Gist TokensCode2
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language ModelsCode2
Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image TranslationCode2
Towards Trustworthy Retrieval Augmented Generation for Large Language Models: A SurveyCode2
LongReward: Improving Long-context Large Language Models with AI FeedbackCode2
LiteTransformerSearch: Training-free Neural Architecture Search for Efficient Language ModelsCode2
Conformal Symplectic Optimization for Stable Reinforcement LearningCode2
SparseMM: Head Sparsity Emerges from Visual Concept Responses in MLLMsCode2
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image GenerationCode2
Learning Embeddings with Centroid Triplet Loss for Object Identification in Robotic GraspingCode2
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