SOTAVerified

Open-Ended Question Answering

Open-ended questions are defined as those that simply pose the question, without imposing any constraints on the format of the response. This distinguishes them from questions with a predetermined answer format.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–75 of 796 papers

TitleStatusHype
BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud RegistrationCode1
Learning Deformable Registration of Medical Images with Anatomical ConstraintsCode1
Learning to Combine Top-Down and Bottom-Up Signals in Recurrent Neural Networks with Attention over ModulesCode1
Learning to Do or Learning While Doing: Reinforcement Learning and Bayesian Optimisation for Online Continuous TuningCode1
Cross-modal Contrastive Learning for Multimodal Fake News DetectionCode1
Background Data Resampling for Outlier-Aware ClassificationCode1
Linearly Mapping from Image to Text SpaceCode1
LLaSA: A Multimodal LLM for Human Activity Analysis Through Wearable and Smartphone SensorsCode1
Analysing Neural Language Models: Contextual Decomposition Reveals Default Reasoning in Number and Gender AssignmentCode1
Analyzing the Effectiveness of the Underlying Reasoning Tasks in Multi-hop Question AnsweringCode1
Attack of the Tails: Yes, You Really Can Backdoor Federated LearningCode1
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural NetworksCode1
When should we prefer Decision Transformers for Offline Reinforcement Learning?Code1
Attention-guided Context Feature Pyramid Network for Object DetectionCode1
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine SynergyCode1
An Empirical Study of Representation Learning for Reinforcement Learning in HealthcareCode1
BiMediX: Bilingual Medical Mixture of Experts LLMCode1
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture SearchCode1
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the LeastCode1
ChestX-ray8: Hospital-scale Chest X-ray Database and Benchmarks on Weakly-Supervised Classification and Localization of Common Thorax DiseasesCode1
Coresets for Data-efficient Training of Machine Learning ModelsCode1
Discovering Reinforcement Learning AlgorithmsCode1
Does CLIP Bind Concepts? Probing Compositionality in Large Image ModelsCode1
DORO: Distributional and Outlier Robust OptimizationCode1
Robust Optimization as Data Augmentation for Large-scale GraphsCode1
Show:102550
← PrevPage 3 of 32Next →

No leaderboard results yet.