SOTAVerified

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
Cross-Lingual QA as a Stepping Stone for Monolingual Open QA in Icelandic—0
The Parallelism Tradeoff: Limitations of Log-Precision Transformers—0
Incorporating Centering Theory into Neural Coreference ResolutionCode0
Reinforcement Learning Based Dynamic Model Combination for Time Series Forecasting—0
Tackling Spoofing-Aware Speaker Verification with Multi-Model Fusion—0
Learning to Rank Rationales for Explainable RecommendationCode0
When Does Adaptivity Help for Quantum State Learning?—0
A general approximation lower bound in L^p norm, with applications to feed-forward neural networks—0
Clustering with Queries under Semi-Random Noise—0
Learning to generate imaginary tasks for improving generalization in meta-learning—0
Benchmarking Bayesian neural networks and evaluation metrics for regression tasks—0
Scaling laws in global corporations as a benchmarking approach to assess environmental performance—0
Nearly Optimal Best-of-Both-Worlds Algorithms for Online Learning with Feedback Graphs—0
Reflections on 30 Years of Language Resource Development and Sharing—0
3PSDF: Three-Pole Signed Distance Function for Learning Surfaces with Arbitrary Topologies—0
Most Equitable Voting Rules—0
HOUDINI: Escaping from Moderately Constrained Saddles—0
Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently—0
Beyond EM Algorithm on Over-specified Two-Component Location-Scale Gaussian Mixtures—0
POLTER: Policy Trajectory Ensemble Regularization for Unsupervised Reinforcement Learning—0
Towards biologically plausible Dreaming and Planning in recurrent spiking networksCode0
Learning Progress Driven Multi-Agent CurriculumCode0
Memorization and Optimization in Deep Neural Networks with Minimum Over-parameterization—0
Pareto-Optimal Fairness-Utility Amortizations in Rankings with a DBN Exposure Model—0
Bacteriophage effect on parasitism resistance—0
Modality-specific Learning Rates for Effective Multimodal Additive Late-fusion—0
Human-AI Collaboration via Conditional Delegation: A Case Study of Content Moderation—0
A Computational Theory of Learning Flexible Reward-Seeking Behavior with Place Cells—0
Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity—0
Topology and geometry of data manifold in deep learning—0
Cross-view Brain Decoding—0
Context-Aware Language Modeling for Goal-Oriented Dialogue Systems—0
The comparative statics of persuasion—0
Data-Centric Green AI: An Exploratory Empirical StudyCode0
Model Predictive Control for Fluid Human-to-Robot Handovers—0
Compositional optimization of quantum circuits for quantum kernels of support vector machines—0
Stability and Risk Bounds of Iterative Hard Thresholding—0
The Structured Abstain Problem and the Lovász Hinge—0
Occlusion Fields: An Implicit Representation for Non-Line-of-Sight Surface Reconstruction—0
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation—0
Regret Bounds for Expected Improvement Algorithms in Gaussian Process Bandit Optimization—0
A Characterization of Multiclass Learnability—0
Fault-Tolerant Neural Networks from Biological Error Correction Codes—0
Overcoming a Theoretical Limitation of Self-AttentionCode0
Parameterized Intractability for Multi-Winner Election under the Chamberlin-Courant Rule and the Monroe Rule—0
Partially Fake Audio Detection by Self-attention-based Fake Span Discovery—0
Maximizing Communication Efficiency for Large-scale Training via 0/1 AdamCode0
On characterizations of learnability with computable learners—0
Complexity of Arithmetic in Warded Datalog+-—0
A hypothesis-driven method based on machine learning for neuroimaging data analysis—0
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