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Showing 10051–10100 of 661570 papers

TitleStatusHype
RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model FeedbackCode2
U-shaped Vision Mamba for Single Image DehazingCode2
MOMENT: A Family of Open Time-series Foundation ModelsCode2
Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object DetectionCode2
CAT-SAM: Conditional Tuning for Few-Shot Adaptation of Segment Anything ModelCode2
LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256KCode2
Fine-Tuned Language Models Generate Stable Inorganic Materials as TextCode2
QuEST: Low-bit Diffusion Model Quantization via Efficient Selective FinetuningCode2
A Hard-to-Beat Baseline for Training-free CLIP-based AdaptationCode2
Linear-time Minimum Bayes Risk Decoding with Reference AggregationCode2
Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI FeedbackCode2
Privacy Leakage on DNNs: A Survey of Model Inversion Attacks and DefensesCode2
Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining MethodsCode2
4D-Rotor Gaussian Splatting: Towards Efficient Novel View Synthesis for Dynamic ScenesCode2
InteractiveVideo: User-Centric Controllable Video Generation with Synergistic Multimodal InstructionsCode2
Rethinking Optimization and Architecture for Tiny Language ModelsCode2
HASSOD: Hierarchical Adaptive Self-Supervised Object DetectionCode2
Delving into Multi-modal Multi-task Foundation Models for Road Scene Understanding: From Learning Paradigm PerspectivesCode2
Position: What Can Large Language Models Tell Us about Time Series AnalysisCode2
Light and Optimal Schrödinger Bridge MatchingCode2
Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language ModelsCode2
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object DetectorCode2
Guidance with Spherical Gaussian Constraint for Conditional DiffusionCode2
How do Large Language Models Learn In-Context? Query and Key Matrices of In-Context Heads are Two Towers for Metric LearningCode2
nnMamba: 3D Biomedical Image Segmentation, Classification and Landmark Detection with State Space ModelCode2
FROSTER: Frozen CLIP Is A Strong Teacher for Open-Vocabulary Action RecognitionCode2
See More Details: Efficient Image Super-Resolution by Experts MiningCode2
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency PerspectiveCode2
Flora: Low-Rank Adapters Are Secretly Gradient CompressorsCode2
Graph-enhanced Large Language Models in Asynchronous Plan ReasoningCode2
Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language ModelsCode2
Training-Free Consistent Text-to-Image GenerationCode2
Large Language Models are Geographically BiasedCode2
Retrieval-Augmented Score Distillation for Text-to-3D GenerationCode2
LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language ModelCode2
Robot Trajectron: Trajectory Prediction-based Shared Control for Robot ManipulationCode2
GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question AnsweringCode2
Minusformer: Improving Time Series Forecasting by Progressively Learning ResidualsCode2
KICGPT: Large Language Model with Knowledge in Context for Knowledge Graph CompletionCode2
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot LearningCode2
Jailbreaking Attack against Multimodal Large Language ModelCode2
Federated Learning with New Knowledge: Fundamentals, Advances, and FuturesCode2
Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language ModelsCode2
More Agents Is All You NeedCode2
Affordable Generative AgentsCode2
Change Point Detection with Copula Entropy based Two-Sample TestCode2
EffiBench: Benchmarking the Efficiency of Automatically Generated CodeCode2
ScribFormer: Transformer Makes CNN Work Better for Scribble-based Medical Image SegmentationCode2
GITA: Graph to Visual and Textual Integration for Vision-Language Graph ReasoningCode2
Improving Diffusion Models for Inverse Problems Using Optimal Posterior CovarianceCode2
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