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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 301–350 of 796 papers

TitleStatusHype
Width is Less Important than Depth in ReLU Neural Networks—0
Near-Optimal Learning of Extensive-Form Games with Imperfect Information—0
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-ColoringsCode0
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning—0
Evaluating Machine Common Sense via Cloze Testing—0
Testing the Ability of Language Models to Interpret Figurative Language—0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks—0
FogAdapt: Self-Supervised Domain Adaptation for Semantic Segmentation of Foggy Images—0
PWM2Vec: An Efficient Embedding Approach for Viral Host Specification from Coronavirus Spike SequencesCode0
Universal Online Learning with Bounded Loss: Reduction to Binary Classification—0
Exploring the Impact of Virtualization on the Usability of the Deep Learning Applications—0
Explanation as Question Answering based on Design Knowledge—0
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge—0
A Dynamical Model for the Origin of Anisogamy—0
Finding Structure in Silence: The Role of Pauses in Aligning Speaker Expectations—0
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization—0
On the Practical Consistency of Meta-Reinforcement Learning Algorithms—0
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?Code0
On the Value of Infinite Gradients in Variational Autoencoder Models—0
Simple Stochastic and Online Gradient Descent Algorithms for Pairwise Learning—0
Computational Complexity of Normalizing Constants for the Product of Determinantal Point Processes—0
Simple Stochastic and Online Gradient DescentAlgorithms for Pairwise LearningCode0
Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR—0
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach—0
Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals—0
Overcoming a Theoretical Limitation of Self-Attention—0
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems—0
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition—0
Generated Knowledge Prompting for Commonsense Reasoning—0
Jumping Fluid Models and Delay Stability of Max-Weight Dynamics under Heavy-Tailed Traffic—0
Exponential separations between learning with and without quantum memory—0
Self-Interpretable Model with TransformationEquivariant Interpretation—0
Active Linear Regression for _p Norms and Beyond—0
The Hardness Analysis of Thompson Sampling for Combinatorial Semi-bandits with Greedy Oracle—0
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 Evaluation—0
InfoGCL: Information-Aware Graph Contrastive Learning—0
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game—0
Towards Hyperparameter-free Policy Selection for Offline Reinforcement LearningCode0
Assessing Evaluation Metrics for Speech-to-Speech Translation—0
Quantum Boosting using Domain-Partitioning HypothesesCode0
Post-Regularization Confidence Bands for Ordinary Differential Equations—0
Stochastic facilitation in heteroclinic communication channels—0
Optimizing Multi-Taper Features for Deep Speaker Verification—0
REAL-M: Towards Speech Separation on Real MixturesCode0
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences—0
Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical GuaranteesCode0
Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals—0
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