SOTAVerified

Zero-shot Generalization

Papers

Showing 426450 of 572 papers

TitleStatusHype
A Dual Curriculum Learning Framework for Multi-UAV Pursuit-Evasion in Diverse Environments0
Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning0
Towards the Unification of Generative and Discriminative Visual Foundation Model: A Survey0
MmAP : Multi-modal Alignment Prompt for Cross-domain Multi-task Learning0
Adaptive Human Trajectory Prediction via Latent Corridors0
Multi-View Unsupervised Image Generation with Cross Attention Guidance0
MASP: Scalable GNN-based Planning for Multi-Agent Navigation0
I-PHYRE: Interactive Physical Reasoning0
Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent0
Large Model Based Referring Camouflaged Object Detection0
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers0
C-SAW: Self-Supervised Prompt Learning for Image Generalization in Remote Sensing0
A Safer Vision-based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs0
Towards Generalizable SER: Soft Labeling and Data Augmentation for Modeling Temporal Emotion Shifts in Large-Scale Multilingual SpeechCode0
Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question PromptsCode0
Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels0
A Simple yet Efficient Ensemble Approach for AI-generated Text Detection0
Octavius: Mitigating Task Interference in MLLMs via LoRA-MoECode0
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization0
Neural Field Dynamics Model for Granular Object Piles Manipulation0
ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language AdaptersCode0
Robot Skill Generalization via Keypoint Integrated Soft Actor-Critic Gaussian Mixture Models0
InstructRetro: Instruction Tuning post Retrieval-Augmented Pretraining0
What Matters to You? Towards Visual Representation Alignment for Robot Learning0
From Supervised to Generative: A Novel Paradigm for Tabular Deep Learning with Large Language ModelsCode0
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Benchmark Results

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