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 176–200 of 796 papers

TitleStatusHype
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning—0
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability PerspectiveCode0
Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic—0
Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension—0
Cross-modal Face- and Voice-style Transfer—0
Multi-Message Shuffled Privacy in Federated Learning—0
Selectively Providing Reliance Calibration Cues With Reliance Prediction—0
Minimizing Dynamic Regret on Geodesic Metric Spaces—0
Deterministic Nonsmooth Nonconvex Optimization—0
Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions—0
Convergence of the Euler--Maruyama particle scheme for a regularised McKean--Vlasov equation arising from the calibration of local-stochastic volatility models—0
Fast, Sample-Efficient, Affine-Invariant Private Mean and Covariance Estimation for Subgaussian Distributions—0
A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural NetworksCode0
Predicting attractors from spectral properties of stylized gene regulatory networks—0
Doubly Adversarial Federated Bandits—0
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality—0
Asymptotic normality and optimality in nonsmooth stochastic approximation—0
Exit options sustain altruistic punishment and decrease the second-order free-riders, but it is not a panacea—0
Predictive World Models from Real-World Partial ObservationsCode0
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding TasksCode0
Rethinking complex-valued deep neural networks for monaural speech enhancement—0
A Unified Theory of Diversity in Ensemble LearningCode0
Investigations on convergence behaviour of Physics Informed Neural Networks across spectral ranges and derivative orders—0
A Labelled Sample Compression Scheme of Size at Most Quadratic in the VC Dimension—0
RangeAugment: Efficient Online Augmentation with Range Learning—0
Show:102550
← PrevPage 8 of 32Next →

No leaderboard results yet.