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Informativeness

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Showing 401–425 of 735 papers

TitleStatusHype
High-quality Task Division for Large-scale Entity AlignmentCode0
UnCommonSense: Informative Negative Knowledge about Everyday Concepts—0
EGCR: Explanation Generation for Conversational Recommendation—0
Maximising the Utility of Validation Sets for Imbalanced Noisy-label Meta-learning—0
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems—0
Unifying Approaches in Active Learning and Active Sampling via Fisher Information and Information-Theoretic QuantitiesCode0
Deep Active Learning with Budget Annotation—0
Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language ExplanationsCode0
Stream-based active learning with linear models—0
Towards Automatic Generation of Messages Countering Online Hate Speech and MicroaggressionsCode0
Interactive Query-Assisted Summarization via Deep Reinforcement LearningCode0
Automating Human Evaluation of Dialogue Systems—0
Towards Human-Agent Communication via the Information Bottleneck Principle—0
Link the World: Improving Open-domain Conversation with Dynamic Spatiotemporal-aware Knowledge—0
Comparing informativeness of an NLG chatbot vs graphical app in diet-information domain—0
Bayesian model calibration for block copolymer self-assembly: Likelihood-free inference and expected information gain computation via measure transport—0
Using Sum-Product Networks to Assess Uncertainty in Deep Active Learning—0
Dual Representation Learning for Out-of-Distribution DetectionCode0
PInKS: Preconditioned Commonsense Inference with Minimal SupervisionCode0
Learning Binarized Graph Representations with Multi-faceted Quantization Reinforcement for Top-K Recommendation—0
Lossless Compression of Point Cloud Sequences Using Sequence Optimized CNN Models—0
Evaluating the Effects of Embedding with Speaker Identity Information in Dialogue Summarization—0
On the Trade-off between Redundancy and Local Coherence in SummarizationCode0
GRACE-C: Generalized Rate Agnostic Causal Estimation via Constraints—0
Statistical discrimination and statistical informativeness—0
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