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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 601–650 of 796 papers

TitleStatusHype
Adversarial Laws of Large Numbers and Optimal Regret in Online Classification—0
A Dynamical Model for the Origin of Anisogamy—0
A general approximation lower bound in L^p norm, with applications to feed-forward neural networks—0
A general recurrent state space framework for modeling neural dynamics during decision-making—0
A Generic Approach to Integrating Time into Spatial-Temporal Forecasting via Conditional Neural Fields—0
Agnostic Sample Compression Schemes for Regression—0
A hypothesis-driven method based on machine learning for neuroimaging data analysis—0
A Labelled Sample Compression Scheme of Size at Most Quadratic in the VC Dimension—0
A Large Batch Optimizer Reality Check: Traditional, Generic Optimizers Suffice Across Batch Sizes—0
Algorithms and SQ Lower Bounds for PAC Learning One-Hidden-Layer ReLU Networks—0
Aligning Language Models to User Opinions—0
A Linearly Convergent Conditional Gradient Algorithm with Applications to Online and Stochastic Optimization—0
Scaling laws in global corporations as a benchmarking approach to assess environmental performance—0
All-Pay Bidding Games on Graphs—0
ALMN: Deep Embedding Learning with Geometrical Virtual Point Generating—0
A Machine Learning Nowcasting Method based on Real-time Reanalysis Data—0
A Model Selection Approach for Corruption Robust Reinforcement Learning—0
An algebraic approach to spike-time neural codes in the hippocampus—0
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression—0
AND does not mean OR: Using Formal Languages to Study Language Models' Representations—0
An efficient algorithm for contextual bandits with knapsacks, and an extension to concave objectives—0
An Empirical Study on Fine-Grained Named Entity Recognition—0
An Equivalence Between Private Classification and Online Prediction—0
A Neural Network Detector for Spectrum Sensing under Uncertainties—0
A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception—0
A Neuro-AI Interface: Learning DNNs from the Human Brain—0
Low-rank matrix completion theory via Plucker coordinates—0
An identifiability problem in a state model for partly undetected chronic diseases—0
A Note on Utility Maximization with Proportional Transaction Costs and Stability of Optimal Portfolios—0
anyECG-chat: A Generalist ECG-MLLM for Flexible ECG Input and Multi-Task Understanding—0
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access—0
Approximately Optimal Binning for the Piecewise Constant Approximation of the Normalized Unexplained Variance (nUV) Dissimilarity Measure—0
A Quantitative Review on Language Model Efficiency Research—0
A Re-Examination of the Evidence used by Hooge et al (2018) "Is human classification by experienced untrained observers a gold standard in fixation detection?"—0
A Reparameterization-Invariant Flatness Measure for Deep Neural Networks—0
ASBERT: Siamese and Triplet network embedding for open question answering—0
Assessing Evaluation Metrics for Speech-to-Speech Translation—0
A survey and a new selection criterion for statistical home range estimation—0
Asymptotic normality and optimality in nonsmooth stochastic approximation—0
A Theory of Selective Prediction—0
A Theory of the Distortion-Perception Tradeoff in Wasserstein Space—0
Attention module improves both performance and interpretability of 4D fMRI decoding neural network—0
Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance—0
AutoDrive-QA- Automated Generation of Multiple-Choice Questions for Autonomous Driving Datasets Using Large Vision-Language Models—0
Automatic Tuning of Stochastic Gradient Descent with Bayesian Optimisation—0
Autonomous Open-Ended Learning of Interdependent Tasks—0
Autonomous Reinforcement Learning of Multiple Interrelated Tasks—0
Backdoor Attack and Defense in Federated Generative Adversarial Network-based Medical Image Synthesis—0
Bacteriophage effect on parasitism resistance—0
Bad Universal Priors and Notions of Optimality—0
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