SOTAVerified

Informativeness

Papers

Showing 351375 of 735 papers

TitleStatusHype
Are Current Decoding Strategies Capable of Facing the Challenges of Visual Dialogue?0
ProGen: Progressive Zero-shot Dataset Generation via In-context FeedbackCode1
Precisely the Point: Adversarial Augmentations for Faithful and Informative Text Generation0
Spectral ProbingCode1
Meta-Query-Net: Resolving Purity-Informativeness Dilemma in Open-set Active LearningCode1
Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning0
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors0
TPGNN: Learning High-order Information in Dynamic Graphs via Temporal Propagation0
Robust Active Distillation0
DCI-ES: An Extended Disentanglement Framework with Connections to IdentifiabilityCode0
The interaction between cognitive ease and informativeness shapes the lexicons of natural languages0
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in RecommendationCode0
Adaptive Sparse ViT: Towards Learnable Adaptive Token Pruning by Fully Exploiting Self-AttentionCode1
KeypartX: Graph-based Perception (Text) RepresentationCode0
Quantification before Selection: Active Dynamics Preference for Robust Reinforcement Learning0
Robust Information Bottleneck for Task-Oriented Communication with Digital ModulationCode1
Characterizing Graph Datasets for Node Classification: Homophily-Heterophily Dichotomy and Beyond0
Chain of Explanation: New Prompting Method to Generate Higher Quality Natural Language Explanation for Implicit Hate Speech0
Generating detailed saliency maps using model-agnostic methods0
Active Learning with Effective Scoring Functions for Semi-Supervised Temporal Action Localization0
ImitAL: Learned Active Learning Strategy on Synthetic DataCode0
The Effect of Modeling Human Rationality Level on Learning Rewards from Multiple Feedback Types0
High-quality Task Division for Large-scale Entity AlignmentCode0
UnCommonSense: Informative Negative Knowledge about Everyday Concepts0
Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems0
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