SOTAVerified

Zero-shot Generalization

Papers

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Showing 276–300 of 572 papers

TitleStatusHype
DEL-Ranking: Ranking-Correction Denoising Framework for Elucidating Molecular Affinities in DNA-Encoded Libraries—0
Denoising and Alignment: Rethinking Domain Generalization for Multimodal Face Anti-Spoofing—0
Depth Anything with Any Prior—0
DEUX: Active Exploration for Learning Unsupervised Depth Perception—0
DiffCJK: Conditional Diffusion Model for High-Quality and Wide-coverage CJK Character Generation—0
DiffuVolume: Diffusion Model for Volume based Stereo Matching—0
Disentanglement and Compositionality of Letter Identity and Letter Position in Variational Auto-Encoder Vision Models—0
Disentangling Representations through Multi-task Learning—0
Do Transformers know symbolic rules, and would we know if they did?—0
Do We Need to Create Big Datasets to Learn a Task?—0
DynaPrompt: Dynamic Test-Time Prompt Tuning—0
EasyInsert: A Data-Efficient and Generalizable Insertion Policy—0
EasyRef: Omni-Generalized Group Image Reference for Diffusion Models via Multimodal LLM—0
EC-Diffuser: Multi-Object Manipulation via Entity-Centric Behavior Generation—0
Efficient Fine-Tuning of Single-Cell Foundation Models Enables Zero-Shot Molecular Perturbation Prediction—0
E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance—0
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning—0
Encoding Explanatory Knowledge for Zero-shot Science Question Answering—0
EndoVLA: Dual-Phase Vision-Language-Action Model for Autonomous Tracking in Endoscopy—0
Enhancing Robustness of Vision-Language Models through Orthogonality Learning and Self-Regularization—0
Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance—0
Error-Aware Policy Learning: Zero-Shot Generalization in Partially Observable Dynamic Environments—0
Evolutionary Prompt Optimization Discovers Emergent Multimodal Reasoning Strategies in Vision-Language Models—0
Fairness-Aware Online Meta-learning—0
Federated reinforcement learning for robot motion planning with zero-shot generalization—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