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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

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Showing 151–200 of 796 papers

TitleStatusHype
Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects—0
A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes—0
Development of a Trust-Aware User Simulator for Statistical Proactive Dialog Modeling in Human-AI Teams—0
Detecting patterns of species diversification in the presence of both rate shifts and mass extinctions—0
A Labelled Sample Compression Scheme of Size at Most Quadratic in the VC Dimension—0
A Guaranteed Convergence Analysis for the Projected Fast Iterative Soft-Thresholding Algorithm in Parallel MRI—0
End-to-End Pore Extraction and Matching in Latent Fingerprints: Going Beyond Minutiae—0
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering—0
Escaping Saddle Points Faster with Stochastic Momentum—0
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space—0
A Theory of Selective Prediction—0
A hypothesis-driven method based on machine learning for neuroimaging data analysis—0
Asymptotic normality and optimality in nonsmooth stochastic approximation—0
A survey and a new selection criterion for statistical home range estimation—0
Agnostic Sample Compression Schemes for Regression—0
A Computational Theory of Learning Flexible Reward-Seeking Behavior with Place Cells—0
Effective Parallelisation for Machine Learning—0
A Generic Approach to Integrating Time into Spatial-Temporal Forecasting via Conditional Neural Fields—0
Efficient Bi-level Optimization for Non-smooth Optimization—0
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis—0
Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study—0
Deep Adaptive Learning for Writer Identification based on Single Handwritten Word Images—0
A general recurrent state space framework for modeling neural dynamics during decision-making—0
Provable Accelerated Convergence of Nesterov's Momentum for Deep ReLU Neural Networks—0
Efficient human-like semantic representations via the Information Bottleneck principle—0
Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation—0
Deep Divergence-Based Approach to Clustering—0
Deepfakes for Medical Video De-Identification: Privacy Protection and Diagnostic Information Preservation—0
ASBERT: Siamese and Triplet network embedding for open question answering—0
Deep learning for extracting protein-protein interactions from biomedical literature—0
Assessing Evaluation Metrics for Speech-to-Speech Translation—0
Deep Machine Learning Reconstructing Lattice Topology with Strong Thermal Fluctuations—0
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks—0
Deep Video Precoding—0
Deleting and Testing Forbidden Patterns in Multi-Dimensional Arrays—0
Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem—0
Depth with Nonlinearity Creates No Bad Local Minima in ResNets—0
Characterizing the memory capacity of transmon qubit reservoirs—0
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models—0
Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning—0
Decoding index finger position from EEG using random forests—0
Deterministic Nonsmooth Nonconvex Optimization—0
Debunking Sentiment Lexicons: A Case of Domain-Specific Sentiment Classification for Croatian—0
Differences in boundary behavior in the 3D vertex and Voronoi models—0
A general approximation lower bound in L^p norm, with applications to feed-forward neural networks—0
Discovering Features in Sr_14Cu_24O_41 Neutron Single Crystal Diffraction Data by Cluster Analysis—0
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments—0
Disentangling the independently controllable factors of variation by interacting with the world—0
Dynamic Algorithms for Matroid Submodular Maximization—0
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks—0
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