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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 251–300 of 796 papers

TitleStatusHype
Near-Optimal Learning of Extensive-Form Games with Imperfect Information—0
Weisfeiler and Leman Go Infinite: Spectral and Combinatorial Pre-ColoringsCode0
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence EmbeddingsCode1
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning—0
An Analysis on Ensemble Learning optimized Medical Image Classification with Deep Convolutional Neural NetworksCode1
GreaseLM: Graph REASoning Enhanced Language Models for Question AnsweringCode2
Evaluating Machine Common Sense via Cloze Testing—0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks—0
Testing the Ability of Language Models to Interpret Figurative Language—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
Parameter Differentiation based Multilingual Neural Machine TranslationCode1
Exploring the Impact of Virtualization on the Usability of the Deep Learning Applications—0
A Dynamical Model for the Origin of Anisogamy—0
Explanation as Question Answering based on Design Knowledge—0
Evidentiality-guided Generation for Knowledge-Intensive NLP TasksCode1
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge—0
Finding Structure in Silence: The Role of Pauses in Aligning Speaker Expectations—0
On the Practical Consistency of Meta-Reinforcement Learning Algorithms—0
On the Value of Infinite Gradients in Variational Autoencoder Models—0
Multi-Armed Bandits with Bounded Arm-Memory: Near-Optimal Guarantees for Best-Arm Identification and Regret Minimization—0
Think Big, Teach Small: Do Language Models Distil Occam’s Razor?Code0
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
Ubi-SleepNet: Advanced Multimodal Fusion Techniques for Three-stage Sleep Classification Using Ubiquitous SensingCode1
Uncertainty Quantification of Surrogate Explanations: an Ordinal Consensus Approach—0
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems—0
Generated Knowledge Prompting for Commonsense Reasoning—0
Overcoming a Theoretical Limitation of Self-Attention—0
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition—0
Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals—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
Mobility-Dependent and Mobility-Compensated Effective Reproduction Number of COVID-19 Viral Variants: New Metric for Infectivity Evaluation—0
Test Harder than You Train: Probing with Extrapolation SplitsCode0
Do pretrained transformers infer telicity like humans?—0
InfoGCL: Information-Aware Graph Contrastive Learning—0
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game—0
Assessing Evaluation Metrics for Speech-to-Speech Translation—0
Towards Hyperparameter-free Policy Selection for Offline Reinforcement LearningCode0
Quantum Boosting using Domain-Partitioning HypothesesCode0
Post-Regularization Confidence Bands for Ordinary Differential Equations—0
Stochastic facilitation in heteroclinic communication channels—0
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