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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 201250 of 796 papers

TitleStatusHype
3PSDF: Three-Pole Signed Distance Function for Learning Surfaces with Arbitrary Topologies0
Most Equitable Voting Rules0
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-trainingCode2
kNN-Prompt: Nearest Neighbor Zero-Shot InferenceCode1
HOUDINI: Escaping from Moderately Constrained Saddles0
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently0
Beyond EM Algorithm on Over-specified Two-Component Location-Scale Gaussian Mixtures0
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning0
Towards biologically plausible Dreaming and Planning in recurrent spiking networksCode0
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization0
Learning Progress Driven Multi-Agent CurriculumCode0
The First Optimal Acceleration of High-Order Methods in Smooth Convex OptimizationCode1
Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model0
Bacteriophage effect on parasitism resistance0
Language Models Can See: Plugging Visual Controls in Text GenerationCode2
Modality-specific Learning Rates for Effective Multimodal Additive Late-fusion0
Testing the Ability of Language Models to Interpret Figurative LanguageCode1
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation0
A Computational Theory of Learning Flexible Reward-Seeking Behavior with Place Cells0
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity0
Topology and geometry of data manifold in deep learning0
Cross-view Brain Decoding0
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems0
Improving Passage Retrieval with Zero-Shot Question GenerationCode1
The comparative statics of persuasion0
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity RecognitionCode1
Data-Centric Green AI: An Exploratory Empirical StudyCode0
Model Predictive Control for Fluid Human-to-Robot Handovers0
Compositional optimization of quantum circuits for quantum kernels of support vector machines0
Stability and Risk Bounds of Iterative Hard Thresholding0
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation0
Occlusion Fields: An Implicit Representation for Non-Line-of-Sight Surface Reconstruction0
The Structured Abstain Problem and the Lovász Hinge0
Bamboo: Building Mega-Scale Vision Dataset Continually with Human-Machine SynergyCode1
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization0
Few-Sample Traffic Prediction with Graph Networks using Locale as Relational Inductive BiasesCode1
HEAR: Holistic Evaluation of Audio RepresentationsCode1
A Characterization of Multiclass Learnability0
Fault-Tolerant Neural Networks from Biological Error Correction Codes0
M2I: From Factored Marginal Trajectory Prediction to Interactive PredictionCode2
Parameterized Intractability for Multi-Winner Election under the Chamberlin-Courant Rule and the Monroe Rule0
Overcoming a Theoretical Limitation of Self-AttentionCode0
Dissecting graph measure performance for node clustering in LFR parameter spaceCode1
Partially Fake Audio Detection by Self-attention-based Fake Span Discovery0
Maximizing Communication Efficiency for Large-scale Training via 0/1 Adam0
On characterizations of learnability with computable learners0
Complexity of Arithmetic in Warded Datalog+-0
A hypothesis-driven method based on machine learning for neuroimaging data analysis0
Machine Explanations and Human UnderstandingCode1
Width is Less Important than Depth in ReLU Neural Networks0
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