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Zero-shot Generalization

Papers

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Showing 301–350 of 572 papers

TitleStatusHype
SAM-PD: How Far Can SAM Take Us in Tracking and Segmenting Anything in Videos by Prompt DenoisingCode0
Go to Zero: Towards Zero-shot Motion Generation with Million-scale DataCode0
Long Range Language Modeling via Gated State SpacesCode0
Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction TuningCode0
CLUTR: Curriculum Learning via Unsupervised Task Representation LearningCode0
SAM Carries the Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical SegmentationCode0
One Shot is Enough for Sequential Infrared Small Target SegmentationCode0
RVTBench: A Benchmark for Visual Reasoning TasksCode0
Performance and Non-adversarial Robustness of the Segment Anything Model 2 in Surgical Video Segmentation—0
A Coach-Player Framework for Dynamic Team Composition—0
Adaptive Human Trajectory Prediction via Latent Corridors—0
Adaptive Prediction Ensemble: Improving Out-of-Distribution Generalization of Motion Forecasting—0
Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels—0
Adversarial Environment Design via Regret-Guided Diffusion Models—0
Aether: Geometric-Aware Unified World Modeling—0
Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization—0
A Minimalist Prompt for Zero-Shot Policy Learning—0
Amortized Active Causal Induction with Deep Reinforcement Learning—0
Anchored Diffusion Language Model—0
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models—0
Answer-Me: Multi-Task Open-Vocabulary Visual Question Answering—0
AnyBody: A Benchmark Suite for Cross-Embodiment Manipulation—0
AnyMorph: Learning Transferable Polices By Inferring Agent Morphology—0
AnySkin: Plug-and-play Skin Sensing for Robotic Touch—0
AoP-SAM: Automation of Prompts for Efficient Segmentation—0
A Recipe for Improving Remote Sensing VLM Zero Shot Generalization—0
A Review of 3D Object Detection with Vision-Language Models—0
A Safer Vision-based Autonomous Planning System for Quadrotor UAVs with Dynamic Obstacle Trajectory Prediction and Its Application with LLMs—0
A Simple yet Efficient Ensemble Approach for AI-generated Text Detection—0
Augmented World Models Facilitate Zero-Shot Dynamics Generalization From a Single Offline Environment—0
Augmenting Zero-Shot Dense Retrievers with Plug-in Mixture-of-Memories—0
A Zero-Shot Generalization Framework for LLM-Driven Cross-Domain Sequential Recommendation—0
BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models—0
BELT:Bootstrapping Electroencephalography-to-Language Decoding and Zero-Shot Sentiment Classification by Natural Language Supervision—0
Benchmarking General-Purpose In-Context Learning—0
Benchmarking VLMs' Reasoning About Persuasive Atypical Images—0
BioMistral-NLU: Towards More Generalizable Medical Language Understanding through Instruction Tuning—0
From Goal-Conditioned to Language-Conditioned Agents via Vision-Language Models—0
Temporal-spatial Adaptation of Promptable SAM Enhance Accuracy and Generalizability of cine CMR Segmentation—0
Categorical Traffic Transformer: Interpretable and Diverse Behavior Prediction with Tokenized Latent—0
Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective—0
Cheap Lunch for Medical Image Segmentation by Fine-tuning SAM on Few Exemplars—0
CLIP-PING: Boosting Lightweight Vision-Language Models with Proximus Intrinsic Neighbors Guidance—0
CoMo: Learning Continuous Latent Motion from Internet Videos for Scalable Robot Learning—0
Compositional Automata Embeddings for Goal-Conditioned Reinforcement Learning—0
Compositional generalization through abstract representations in human and artificial neural networks—0
Compound Expression Recognition via Large Vision-Language Models—0
Concept-modulated model-based offline reinforcement learning for rapid generalization—0
Context-Aware Multimodal Pretraining—0
Contrastive Learning of English Language and Crystal Graphs for Multimodal Representation of Materials Knowledge—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