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Informativeness

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Showing 601–650 of 735 papers

TitleStatusHype
Differentially Private Sequential Learning—0
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation—0
Diffusion Approximations for a Class of Sequential Testing Problems—0
Diffusion Reconstruction of Ultrasound Images with Informative Uncertainty—0
Directed Homophily-Aware Graph Neural Network—0
Discrete Signal Processing with Set Functions—0
Discriminating BCC Subtypes Using Entropy and Mutual Information from Dermoscopic Features—0
Diverse mini-batch Active Learning—0
Diversified and Adaptive Negative Sampling on Knowledge Graphs—0
Document Filtering for Long-tail Entities—0
Does Informativeness Matter? Active Learning for Educational Dialogue Act Classification—0
Does Korean defeat phonotactic word segmentation?—0
Do Speakers Produce Discourse Connectives Rationally?—0
Do we become wiser with time? On causal equivalence with tiered background knowledge—0
Dynamic Bandwidth Allocation for Hybrid Event-RGB Transmission—0
Dynamic Encoding and Decoding of Information for Split Learning in Mobile-Edge Computing: Leveraging Information Bottleneck Theory—0
EdinburghNLP at WNUT-2020 Task 2: Leveraging Transformers with Generalized Augmentation for Identifying Informativeness in COVID-19 Tweets—0
EditSum: A Retrieve-and-Edit Framework for Source Code Summarization—0
Efficient Deep Representation Learning by Adaptive Latent Space Sampling—0
Efficiently Learning Nonstationary Gaussian Processes for Real World Impact—0
EGCR: Explanation Generation for Conversational Recommendation—0
Knowledge-aware Document Summarization: A Survey of Knowledge, Embedding Methods and Architectures—0
Embodied Active Learning of Relational State Abstractions for Bilevel Planning—0
Emotion-Aware Embedding Fusion in LLMs (Flan-T5, LLAMA 2, DeepSeek-R1, and ChatGPT 4) for Intelligent Response Generation—0
Emotion-Gradient Metacognitive RSI (Part I): Theoretical Foundations and Single-Agent Architecture—0
Large Language Models Understand and Can be Enhanced by Emotional Stimuli—0
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation—0
Enhancing Pre-Trained Decision Transformers with Prompt-Tuning Bandits—0
Enhancing Text Generation with Inductive Event Reasoning—0
Enriching Article Recommendation with Phrase Awareness—0
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization—0
Entity Summarization: State of the Art and Future Challenges—0
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective—0
Étude de l'informativité des transcriptions : une approche basée sur le résumé automatique—0
Evaluating and Enhancing Out-of-Domain Generalization of Task-Oriented Dialog Systems for Task Completion without Turn-level Dialog Annotations—0
Evaluating the Effects of Embedding with Speaker Identity Information in Dialogue Summarization—0
Evaluating the Impact of Regulatory Policies on Social Welfare in Difference-in-Difference Settings—0
Evaluation of Neural Networks Defenses and Attacks using NDCG and Reciprocal Rank Metrics—0
EVA-Score: Evaluating Abstractive Long-form Summarization on Informativeness through Extraction and Validation—0
Exemplary natural images explain CNN activations better than synthetic feature visualizations—0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Explaining, Evaluating and Enhancing Neural Networks' Learned Representations—0
Exploiting Cross-Modal Prediction and Relation Consistency for Semi-Supervised Image Captioning—0
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach—0
Exploring Learning Complexity for Efficient Downstream Dataset Pruning—0
Exploring Representativeness and Informativeness for Active Learning—0
Exploring sentence informativeness—0
Exploring Text Links for Coherent Multi-Document Summarization—0
Extending Text Informativeness Measures to Passage Interestingness Evaluation (Language Model vs. Word Embedding)—0
Extracting Self-Consistent Causal Insights from Users Feedback with LLMs and In-context Learning—0
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