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Zero-shot Generalization

Papers

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Showing 351–400 of 572 papers

TitleStatusHype
Zero-Shot Fact Verification via Natural Logic and Large Language ModelsCode0
What Matters for Model Merging at Scale?—0
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations—0
Cross-Embodiment Dexterous Grasping with Reinforcement Learning—0
MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generationCode0
A novel open-source ultrasound dataset with deep learning benchmarks for spinal cord injury localization and anatomical segmentationCode0
From Goal-Conditioned to Language-Conditioned Agents via Vision-Language Models—0
Deep Generative Adversarial Network for Occlusion Removal from a Single Image—0
Deep Learning based Optical Image Super-Resolution via Generative Diffusion Models for Layerwise in-situ LPBF Monitoring—0
IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition—0
Benchmarking VLMs' Reasoning About Persuasive Atypical Images—0
AnySkin: Plug-and-play Skin Sensing for Robotic Touch—0
TanDepth: Leveraging Global DEMs for Metric Monocular Depth Estimation in UAVs—0
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment—0
Segment Anything Model for Grain Characterization in Hard Drive Design—0
Zero-Shot Object-Centric Representation Learning—0
One Shot is Enough for Sequential Infrared Small Target SegmentationCode0
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation—0
HeteroMorpheus: Universal Control Based on Morphological Heterogeneity ModelingCode0
HDL-GPT: High-Quality HDL is All You Need—0
SSTD: Stripe-Like Space Target Detection Using Single-Point Weak Supervision—0
OpenSU3D: Open World 3D Scene Understanding using Foundation Models—0
BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models—0
Disentangling Representations through Multi-task Learning—0
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting—0
Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Self-Regularization—0
Real-Time Anomaly Detection and Reactive Planning with Large Language Models—0
Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object SearchCode0
Cross-Modal Attention Alignment Network with Auxiliary Text Description for zero-shot sketch-based image retrieval—0
NeuralSCF: Neural network self-consistent fields for density functional theory—0
Zero-Shot Generalization during Instruction Tuning: Insights from Similarity and GranularityCode0
Words in Motion: Extracting Interpretable Control Vectors for Motion Transformers—0
Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction TuningCode0
Prompt-based Visual Alignment for Zero-shot Policy Transfer—0
OLIVE: Object Level In-Context Visual EmbeddingsCode0
Text-only Synthesis for Image Captioning—0
TIMA: Text-Image Mutual Awareness for Balancing Zero-Shot Adversarial Robustness and Generalization Ability—0
Benchmarking General-Purpose In-Context Learning—0
Amortized Active Causal Induction with Deep Reinforcement Learning—0
Gradient Projection For Continual Parameter-Efficient Tuning—0
Prompt Learning for Generalized Vehicle RoutingCode0
Revisiting the Robust Generalization of Adversarial Prompt Tuning—0
A Minimalist Prompt for Zero-Shot Policy Learning—0
Enhancing Vision-Language Models Generalization via Diversity-Driven Novel Feature Synthesis—0
Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific TasksCode0
The Third Monocular Depth Estimation Challenge—0
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning—0
Inferring Behavior-Specific Context Improves Zero-Shot Generalization in Reinforcement LearningCode0
PromptSync: Bridging Domain Gaps in Vision-Language Models through Class-Aware Prototype Alignment and Discrimination—0
DiffCJK: Conditional Diffusion Model for High-Quality and Wide-coverage CJK Character Generation—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1GR-MGAvg. sequence length4.04—Unverified
2MoDEAvg. sequence length4.01—Unverified
3RoboUniViewAvg. sequence length3.65—Unverified
43D Diffuser ActorAvg. sequence length3.27—Unverified
5GR-1Avg. sequence length3.06—Unverified