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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 551–600 of 796 papers

TitleStatusHype
Unsupervised Sentence Representations as Word Information Series: Revisiting TF--IDF—0
Using Scene Graph Context to Improve Image Generation—0
Variational Inference for Data-Efficient Model Learning in POMDPs—0
VersaVid-R1: A Versatile Video Understanding and Reasoning Model from Question Answering to Captioning Tasks—0
Video Instruction Tuning With Synthetic Data—0
VLM Q-Learning: Aligning Vision-Language Models for Interactive Decision-Making—0
Wasserstein barycenters are NP-hard to compute—0
Weakly deterministic transformations are subregular—0
Weakly Supervised 3D Hand Pose Estimation via Biomechanical Constraints—0
What Breaks The Curse of Dimensionality in Deep Learning?—0
What can ecosystems learn? Expanding evolutionary ecology with learning theory—0
What do neuroanatomical networks reveal about the ontology of human cognitive abilities?—0
What Really is Deep Learning Doing?—0
When Face Recognition Meets with Deep Learning: an Evaluation of Convolutional Neural Networks for Face Recognition—0
When You Must Forget: beyond strong persistence when forgetting in answer set programming—0
Where is the Information in a Deep Network?—0
Where is the Information in a Deep Neural Network?—0
Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers—0
Width is Less Important than Depth in ReLU Neural Networks—0
Will Artificial Intelligence supersede Earth System and Climate Models?—0
Would You Like to Hear the News? Investigating Voice-BasedSuggestions for Conversational News Recommendation—0
Average-case Analysis of the Assignment Problem with Independent Preferences—0
X-Learner: Learning Cross Sources and Tasks for Universal Visual Representation—0
WIP: Large Language Model-Enhanced Smart Tutor for Undergraduate Circuit Analysis—0
2CP: Decentralized Protocols to Transparently Evaluate Contributivity in Blockchain Federated Learning Environments—0
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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