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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 576–600 of 796 papers

TitleStatusHype
3PSDF: Three-Pole Signed Distance Function for Learning Surfaces with Arbitrary Topologies—0
A Bayesian Monte-Carlo Uncertainty Model for Assessment of Shear Stress Entropy—0
Provable Accelerated Convergence of Nesterov's Momentum for Deep ReLU Neural Networks—0
Accelerated Riemannian Optimization: Handling Constraints with a Prox to Bound Geometric Penalties—0
Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality—0
Accommodate Knowledge Conflicts in Retrieval-augmented LLMs: Towards Reliable Response Generation in the Wild—0
Accurate reconstruction of image stimuli from human fMRI based on the decoding model with capsule network architecture—0
A Characterization of Multiclass Learnability—0
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning—0
A Comparative Study of Pre-trained Encoders for Low-Resource Named Entity Recognition—0
A comparison of end-to-end models for long-form speech recognition—0
A Comparison of Explicit and Implicit Proactive Dialogue Strategies for Conversational Recommendation—0
A Comprehensive Study of ImageNet Pre-Training for Historical Document Image Analysis—0
A Computational Theory of Learning Flexible Reward-Seeking Behavior with Place Cells—0
A Guaranteed Convergence Analysis for the Projected Fast Iterative Soft-Thresholding Algorithm in Parallel MRI—0
Acquiring Annotated Data with Cross-lingual Explicitation for Implicit Discourse Relation Classification—0
A Critical Look at the Consistency of Causal Estimation With Deep Latent Variable Models—0
Active and passive learning of linear separators under log-concave distributions—0
Active Learning for Graph Neural Networks via Node Feature Propagation—0
Active Learning Graph Neural Networks via Node Feature Propagation—0
Active Ranking from Pairwise Comparisons and when Parametric Assumptions Don't Help—0
Active Linear Regression for _p Norms and Beyond—0
Image retrieval outperforms diffusion models on data augmentation—0
Adversarial defense for automatic speaker verification by cascaded self-supervised learning models—0
Adversarial Examples that Fool both Computer Vision and Time-Limited Humans—0
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