SOTAVerified

Zero-shot Generalization

Papers

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Showing 176–200 of 572 papers

TitleStatusHype
Instruction-Tuning Llama-3-8B Excels in City-Scale Mobility PredictionCode1
GHIL-Glue: Hierarchical Control with Filtered Subgoal Images—0
Random Policy Enables In-Context Reinforcement Learning within Trust Horizons—0
Adversarial Environment Design via Regret-Guided Diffusion Models—0
BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning—0
LVSM: A Large View Synthesis Model with Minimal 3D Inductive Bias—0
DEL-Ranking: Ranking-Correction Denoising Framework for Elucidating Molecular Affinities in DNA-Encoded Libraries—0
BiGR: Harnessing Binary Latent Codes for Image Generation and Improved Visual Representation CapabilitiesCode2
Meta-DT: Offline Meta-RL as Conditional Sequence Modeling with World Model DisentanglementCode2
MoTE: Reconciling Generalization with Specialization for Visual-Language to Video Knowledge TransferCode0
Learning to Generate Diverse Pedestrian Movements from Web Videos with Noisy Labels—0
On the Evaluation of Generative Robotic Simulations—0
RDT-1B: a Diffusion Foundation Model for Bimanual ManipulationCode5
Zero-Shot Generalization of Vision-Based RL Without Data Augmentation—0
Zero-Shot Fact Verification via Natural Logic and Large Language ModelsCode0
What Matters for Model Merging at Scale?—0
Cross-Embodiment Dexterous Grasping with Reinforcement Learning—0
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations—0
MedViLaM: A multimodal large language model with advanced generalizability and explainability for medical data understanding and generationCode0
Lotus: Diffusion-based Visual Foundation Model for High-quality Dense PredictionCode4
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
M^2PT: Multimodal Prompt Tuning for Zero-shot Instruction LearningCode1
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
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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