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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

Showing 301350 of 796 papers

TitleStatusHype
Width is Less Important than Depth in ReLU Neural Networks0
Near-Optimal Learning of Extensive-Form Games with Imperfect Information0
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-ColoringsCode0
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning0
Evaluating Machine Common Sense via Cloze Testing0
Testing the Ability of Language Models to Interpret Figurative Language0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks0
FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images0
PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike SequencesCode0
Universal Online Learning with Bounded Loss: Reduction to Binary Classification0
Exploring the Impact of Virtualization on the Usability of the Deep Learning Applications0
Explanation as Question Answering based on Design Knowledge0
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge0
A Dynamical Model for the Origin of Anisogamy0
Finding Structure in Silence: The Role of Pauses in Aligning Speaker Expectations0
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization0
On the Practical Consistency of Meta-Reinforcement Learning Algorithms0
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?Code0
On the Value of Infinite Gradients in Variational Autoencoder Models0
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning0
Computational Complexity of Normalizing Constants for the Product of Determinantal Point Processes0
Simple Stochastic and Online Gradient DescentAlgorithms for Pairwise LearningCode0
Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR0
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach0
Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals0
Overcoming a Theoretical Limitation of Self-Attention0
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems0
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition0
Generated Knowledge Prompting for Commonsense Reasoning0
Jumping Fluid Models and Delay Stability of Max-Weight Dynamics under Heavy-Tailed Traffic0
Exponential separations between learning with and without quantum memory0
Self-Interpretable Model with TransformationEquivariant Interpretation0
Active Linear Regression for _p Norms and Beyond0
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle0
Exponential escape efficiency of SGD from sharp minima in non-stationary regimeCode0
Test Harder than You Train: Probing with Extrapolation SplitsCode0
Do pretrained transformers infer telicity like humans?0
Mobility-Dependent and Mobility-Compensated Effective Reproduction Number of COVID-19 Viral Variants: New Metric for Infectivity Evaluation0
InfoGCL: Information-Aware Graph Contrastive Learning0
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game0
Towards Hyperparameter-free Policy Selection for Offline Reinforcement LearningCode0
Assessing Evaluation Metrics for Speech-to-Speech Translation0
Quantum Boosting using Domain-Partitioning HypothesesCode0
Post-Regularization Confidence Bands for Ordinary Differential Equations0
Stochastic facilitation in heteroclinic communication channels0
Optimizing Multi-Taper Features for Deep Speaker Verification0
REAL-M: Towards Speech Separation on Real MixturesCode0
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences0
Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical GuaranteesCode0
Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals0
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