SOTAVerified

Zero-shot Generalization

Papers

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Showing 451–475 of 572 papers

TitleStatusHype
On the Zero-Shot Generalization of Machine-Generated Text Detectors—0
On the Performance of Multimodal Language Models—0
PACIT: Unlocking the Power of Examples for Better In-Context Instruction TuningCode0
BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision—0
Light Field Diffusion for Single-View Novel View Synthesis—0
DEUX: Active Exploration for Learning Unsupervised Depth Perception—0
Compositional Learning of Visually-Grounded Concepts Using ReinforcementCode0
DiffuVolume: Diffusion Model for Volume based Stereo Matching—0
Cross-Modal Retrieval Meets Inference:Improving Zero-Shot Classification with Cross-Modal Retrieval—0
Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars—0
SAM Meets Robotic Surgery: An Empirical Study on Generalization, Robustness and Adaptation—0
Model Synthesis for Zero-Shot Model AttributionCode0
Improving existing segmentators performance with zero-shot segmentatorsCode0
Towards Generalist Biomedical AI—0
SAM^Med: A medical image annotation framework based on large vision model—0
PhD Thesis: Exploring the role of (self-)attention in cognitive and computer vision architecture—0
Habitat Synthetic Scenes Dataset (HSSD-200): An Analysis of 3D Scene Scale and Realism Tradeoffs for ObjectGoal Navigation—0
Learning to Specialize: Joint Gating-Expert Training for Adaptive MoEs in Decentralized Settings—0
Explore to Generalize in Zero-Shot RLCode0
Mixture-of-Experts Meets Instruction Tuning:A Winning Combination for Large Language Models—0
Fourier Neural Operators for Arbitrary Resolution Climate Data Downscaling—0
Hint of Thought prompting: an explainable and zero-shot approach to reasoning tasks with LLMs—0
MMG-Ego4D: Multi-Modal Generalization in Egocentric Action RecognitionCode0
Heterogeneous Social Value Orientation Leads to Meaningful Diversity in Sequential Social Dilemmas—0
SAM on Medical Images: A Comprehensive Study on Three Prompt Modes—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