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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 201–250 of 796 papers

TitleStatusHype
Distilling Knowledge Learned in BERT for Text GenerationCode0
Distinguishing Cell Phenotype Using Cell EpigenotypeCode0
Combining Learned and Analytical Models for Predicting Action Effects from Sensory DataCode0
Importance of Search and Evaluation Strategies in Neural Dialogue ModelingCode0
Learning Theory for Distribution RegressionCode0
Path Planning Problems with Side Observations-When Colonels Play Hide-and-SeekCode0
How intelligence can change the course of evolutionCode0
Rethinking the Role of Gradient-Based Attribution Methods for Model InterpretabilityCode0
Evaluating Explanation Methods for Deep Learning in SecurityCode0
2D-Shapley: A Framework for Fragmented Data ValuationCode0
gradSLAM: Automagically differentiable SLAMCode0
Double Bubble, Toil and Trouble: Enhancing Certified Robustness through TransitivityCode0
Adversarial and Perceptual Refinement for Compressed Sensing MRI ReconstructionCode0
Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of MindCode0
AutoRL Hyperparameter LandscapesCode0
Stochastic subgradient method converges at the rate O(k^-1/4) on weakly convex functionsCode0
Action Recognition based on Cross-Situational Action-object StatisticsCode0
Tackling unsupervised multi-source domain adaptation with optimism and consistencyCode0
Geolocating Political Events in TextCode0
Full-Capacity Unitary Recurrent Neural NetworksCode0
Capacity, Bandwidth, and Compositionality in Emergent Language LearningCode0
The Role of Relevance in Fair RankingCode0
An Efficient Method for the Classification of Croplands in Scarce-Label RegionsCode0
Finding Physical Adversarial Examples for Autonomous Driving with Fast and Differentiable Image CompositingCode0
Dynamics of specialization in neural modules under resource constraintsCode0
Extrinsic Evaluation of Cultural Competence in Large Language ModelsCode0
Implicit Regularization in Deep Learning May Not Be Explainable by NormsCode0
Predictive World Models from Real-World Partial ObservationsCode0
Ultra-Fast, Low-Storage, Highly Effective Coarse-grained Selection in Retrieval-based Chatbot by Using Deep Semantic HashingCode0
Exit options sustain altruistic punishment and decrease the second-order free-riders, but it is not a panacea—0
Evolving Three Dimension (3D) Abstract Art: Fitting Concepts by Language—0
An analysis of the cost of hyper-parameter selection via split-sample validation, with applications to penalized regression—0
Active Ranking from Pairwise Comparisons and when Parametric Assumptions Don't Help—0
Boosting the Confidence of Near-Tight Generalization Bounds for Uniformly Stable Randomized Algorithms—0
Evaluation of the Synthetic Electronic Health Records—0
Fault-Tolerant Neural Networks from Biological Error Correction Codes—0
Evaluation of Spectral Learning for the Identification of Hidden Markov Models—0
Evaluation of Object Trackers in Distorted Surveillance Videos—0
Beyond EM Algorithm on Over-specified Two-Component Location-Scale Gaussian Mixtures—0
Active Learning Graph Neural Networks via Node Feature Propagation—0
Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture—0
Evaluating Machine Common Sense via Cloze Testing—0
Better state exploration using action sequence equivalence—0
Ethical Artificial Intelligence - An Open Question—0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks—0
Evolutionary dynamics of incubation periods—0
Escaping Saddle Points Faster with Stochastic Momentum—0
Exact MAP Inference by Avoiding Fractional Vertices—0
An algebraic approach to spike-time neural codes in the hippocampus—0
Exploiting the Sensitivity of L_2 Adversarial Examples to Erase-and-Restore—0
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