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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 301–325 of 796 papers

TitleStatusHype
Optimizing Multi-Taper Features for Deep Speaker Verification—0
More Efficient Exploration with Symbolic Priors on Action Sequence Equivalences—0
REAL-M: Towards Speech Separation on Real MixturesCode0
Result Diversification by Multi-objective Evolutionary Algorithms with Theoretical GuaranteesCode0
Understanding Multimodal Procedural Knowledge by Sequencing Multimodal Instructional Manuals—0
Open Domain Question Answering with A Unified Knowledge InterfaceCode1
Evaluating the Faithfulness of Importance Measures in NLP by Recursively Masking Allegedly Important Tokens and RetrainingCode1
Generated Knowledge Prompting for Commonsense ReasoningCode1
SoGCN: Second-Order Graph Convolutional NetworksCode0
Rethinking Supervised Pre-training for Better Downstream Transferring—0
A Few More Examples May Be Worth Billions of ParametersCode1
A Model Selection Approach for Corruption Robust Reinforcement Learning—0
Noisy Text Data: Achilles' Heel of popular transformer based NLP models—0
LexGLUE: A Benchmark Dataset for Legal Language Understanding in EnglishCode1
Attention module improves both performance and interpretability of 4D fMRI decoding neural network—0
Boosting the Confidence of Near-Tight Generalization Bounds for Uniformly Stable Randomized Algorithms—0
Efficient Bi-level Optimization for Non-smooth Optimization—0
Information-Aware Time Series Meta-Contrastive Learning—0
Better state exploration using action sequence equivalence—0
GreaseLM: Graph REASoning Enhanced Language Models—0
Learning Neural Implicit Functions as Object Representations for Robotic Manipulation—0
Radical pairs may play a role in microtubule reorganization—0
Superquadric Object Representation for Optimization-based Semantic SLAM—0
RSI-Net: Two-Stream Deep Neural Network for Remote Sensing Imagesbased Semantic Segmentation—0
Local Augmentation for Graph Neural NetworksCode1
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