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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 76–100 of 796 papers

TitleStatusHype
Idioms, Probing and Dangerous Things: Towards Structural Probing for Idiomaticity in Vector Space—0
Evolving Three Dimension (3D) Abstract Art: Fitting Concepts by Language—0
Development of a Trust-Aware User Simulator for Statistical Proactive Dialog Modeling in Human-AI Teams—0
Image retrieval outperforms diffusion models on data augmentation—0
How the Move Acceptance Hyper-Heuristic Copes With Local Optima: Drastic Differences Between Jumps and Cliffs—0
Behavior Retrieval: Few-Shot Imitation Learning by Querying Unlabeled Datasets—0
Shall We Pretrain Autoregressive Language Models with Retrieval? A Comprehensive StudyCode0
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural NetworksCode0
Lipschitz Continuity of Signal Temporal Logic Robustness Measures: Synthesizing Control Barrier Functions from One Expert Demonstration—0
Krylov Methods are (nearly) Optimal for Low-Rank Approximation—0
AutoRL Hyperparameter LandscapesCode0
Time Series Contrastive Learning with Information-Aware AugmentationsCode1
Feature representations useful for predicting image memorability—0
Understanding and Constructing Latent Modality Structures in Multi-modal Representation Learning—0
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained ModelCode1
Data-Efficient Training of CNNs and Transformers with Coresets: A Stability PerspectiveCode0
Graph Reinforcement Learning for Operator Selection in the ALNS Metaheuristic—0
Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension—0
Cross-modal Face- and Voice-style Transfer—0
Cross-modal Contrastive Learning for Multimodal Fake News DetectionCode1
Multi-Message Shuffled Privacy in Federated Learning—0
Selectively Providing Reliance Calibration Cues With Reliance Prediction—0
Data-Efficient Contrastive Self-supervised Learning: Most Beneficial Examples for Supervised Learning Contribute the LeastCode1
Minimizing Dynamic Regret on Geodesic Metric Spaces—0
Deterministic Nonsmooth Nonconvex Optimization—0
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