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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 701–750 of 796 papers

TitleStatusHype
Deleting and Testing Forbidden Patterns in Multi-Dimensional Arrays—0
Depth-Width Trade-offs for ReLU Networks via Sharkovsky's Theorem—0
Depth with Nonlinearity Creates No Bad Local Minima in ResNets—0
Characterizing the memory capacity of transmon qubit reservoirs—0
Designing Templates for Eliciting Commonsense Knowledge from Pretrained Sequence-to-Sequence Models—0
Detecting and adapting to crisis pattern with context based Deep Reinforcement Learning—0
Detecting patterns of species diversification in the presence of both rate shifts and mass extinctions—0
Deterministic Nonsmooth Nonconvex Optimization—0
Development of a Trust-Aware User Simulator for Statistical Proactive Dialog Modeling in Human-AI Teams—0
Differences in boundary behavior in the 3D vertex and Voronoi models—0
Differentiating Objects by Motion: Joint Detection and Tracking of Small Flying Objects—0
Discovering Features in Sr_14Cu_24O_41 Neutron Single Crystal Diffraction Data by Cluster Analysis—0
Disentangling the independently controllable factors of variation by interacting with the world—0
Dissecting graph measures performance for node clustering in LFR parameter space—0
Distribution-Independent PAC Learning of Halfspaces with Massart Noise—0
DNF-Net: A Neural Architecture for Tabular Data—0
Increasing Depth Leads to U-Shaped Test Risk in Over-parameterized Convolutional Networks—0
Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge—0
Domain Adaptive Image-to-Image Translation—0
Do pretrained transformers infer telicity like humans?—0
Doubly Adversarial Federated Bandits—0
Drift anticipation with forgetting to improve evolving fuzzy system—0
Most Important Person-guided Dual-branch Cross-Patch Attention for Group Affect Recognition—0
Duff: A Dataset-Distance-Based Utility Function Family for the Exponential Mechanism—0
Dynamic Algorithms for Matroid Submodular Maximization—0
Dynamic Network Model from Partial Observations—0
Dynamic Regret for Strongly Adaptive Methods and Optimality of Online KRR—0
Effective Parallelisation for Machine Learning—0
Efficient Bi-level Optimization for Non-smooth Optimization—0
Efficient human-like semantic representations via the Information Bottleneck principle—0
Efficient Integration of Multi-channel Information for Speaker-independent Speech Separation—0
Efficient Online Learning via Randomized Rounding—0
Efficient Transductive Online Learning via Randomized Rounding—0
Embedding-based Product Retrieval in Taobao Search—0
End-to-End Pore Extraction and Matching in Latent Fingerprints: Going Beyond Minutiae—0
Enhancing Gradient-based Attacks with Symbolic Intervals—0
Enhancing Large Language Models with Pseudo- and Multisource- Knowledge Graphs for Open-ended Question Answering—0
Ensemble-Based Deep Reinforcement Learning for Chatbots—0
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task—0
Equivalence of Multicategory SVM and Simplex Cone SVM: Fast Computations and Statistical Theory—0
Exploiting the Sensitivity of L_2 Adversarial Examples to Erase-and-Restore—0
Escaping Saddle Points Faster with Stochastic Momentum—0
Ethical Artificial Intelligence - An Open Question—0
Evaluating Machine Common Sense via Cloze Testing—0
Evaluation of Object Trackers in Distorted Surveillance Videos—0
Evaluation of Spectral Learning for the Identification of Hidden Markov Models—0
Evaluation of the Synthetic Electronic Health Records—0
Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks—0
Evolutionary dynamics of incubation periods—0
Evolving Three Dimension (3D) Abstract Art: Fitting Concepts by Language—0
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