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Informativeness

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Showing 476–500 of 735 papers

TitleStatusHype
How Sequence-to-Sequence Models Perceive Language Styles?—0
Hybrid Active Learning via Deep Clustering for Video Action Detection—0
Identifying High-Quality Chinese News Comments Based on Multi-Target Text Matching Model—0
Image Reconstruction as a Tool for Feature Analysis—0
Image Retrieval with Mixed Initiative and Multimodal Feedback—0
Imagine, Reason and Write: Visual Storytelling with Graph Knowledge and Relational Reasoning—0
Impact of Model Size on Fine-tuned LLM Performance in Data-to-Text Generation: A State-of-the-Art Investigation—0
Improving Knowledge-Aware Dialogue Response Generation by Using Human-Written Prototype Dialogues—0
Improving Multi-turn Task Completion in Task-Oriented Dialog Systems via Prompt Chaining and Fine-Grained Feedback—0
Improving Scientific Article Visibility by Neural Title Simplification—0
Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems—0
Increasing Faithfulness in Knowledge-Grounded Dialogue with Controllable Features—0
Inferring Restaurant Styles by Mining Crowd Sourced Photos from User-Review Websites—0
Advisors with Hidden Motives—0
Information Gathering in Networks via Active Exploration—0
INFORMATION MAXIMIZATION AUTO-ENCODING—0
Informative Data Selection with Uncertainty for Multi-modal Object Detection—0
Informative Image Captioning with External Sources of Information—0
Informativeness Constraints and Compositionality—0
Informative Pseudo-Labeling for Graph Neural Networks with Few Labels—0
Informative Sample Mining Network for Multi-Domain Image-to-Image Translation—0
Integrating Informativeness, Representativeness and Diversity in Pool-Based Sequential Active Learning for Regression—0
Interactive Multi-fidelity Learning for Cost-effective Adaptation of Language Model with Sparse Human Supervision—0
Interpretability-Driven Sample Selection Using Self Supervised Learning For Disease Classification And Segmentation—0
Investigating and Improving Latent Density Segmentation Models for Aleatoric Uncertainty Quantification in Medical Imaging—0
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