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Zero-shot Generalization

Papers

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Showing 51–75 of 572 papers

TitleStatusHype
DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal AlignmentCode2
RoboUniView: Visual-Language Model with Unified View Representation for Robotic ManipulationCode2
GR-MG: Leveraging Partially Annotated Data via Multi-Modal Goal-Conditioned PolicyCode2
RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation ModelCode2
OpenCity: Open Spatio-Temporal Foundation Models for Traffic PredictionCode2
GeoBench: Benchmarking and Analyzing Monocular Geometry Estimation ModelsCode2
HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image PriorsCode2
Exploring the Limits of Vision-Language-Action Manipulations in Cross-task GeneralizationCode2
Autoregressive Image Generation with Randomized Parallel DecodingCode2
Delineate Anything: Resolution-Agnostic Field Boundary Delineation on Satellite ImageryCode2
On the test-time zero-shot generalization of vision-language models: Do we really need prompt learning?Code2
Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot LearningCode2
Multitask Prompted Training Enables Zero-Shot Task GeneralizationCode2
NeRF-Supervised Deep StereoCode2
Crosslingual Generalization through Multitask FinetuningCode2
Matryoshka Diffusion ModelsCode2
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model DisentanglementCode2
Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language ModelCode2
Learning to Route Among Specialized Experts for Zero-Shot GeneralizationCode2
LLM+P: Empowering Large Language Models with Optimal Planning ProficiencyCode2
Know Your Neighbors: Improving Single-View Reconstruction via Spatial Vision-Language ReasoningCode2
Memory-Efficient Visual Autoregressive Modeling with Scale-Aware KV Cache CompressionCode2
Detecting Everything in the Open World: Towards Universal Object DetectionCode2
Collaborative Decoding Makes Visual Auto-Regressive Modeling EfficientCode2
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsCode2
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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