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Informativeness

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Showing 401–450 of 735 papers

TitleStatusHype
uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization—0
Uncertainty Aware Active Learning for Reconfiguration of Pre-trained Deep Object-Detection Networks for New Target Domains—0
Uncertainty-aware Active Learning of NeRF-based Object Models for Robot Manipulators using Visual and Re-orientation Actions—0
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations—0
UnCommonSense: Informative Negative Knowledge about Everyday Concepts—0
Uncovering the Visual Contribution in Audio-Visual Speech Recognition—0
Unlocking the Power of LLM Uncertainty for Active In-Context Example Selection—0
Understanding Learning with Sliced-Wasserstein Requires Rethinking Informative Slices—0
Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models—0
Understanding the User: An Intent-Based Ranking Dataset—0
Understanding while Exploring: Semantics-driven Active Mapping—0
Informativeness and Invariance: Two Perspectives on Spurious Correlations in Natural Language—0
Unraveling Indirect In-Context Learning Using Influence Functions—0
Unsupervised Open-domain Keyphrase Generation—0
Using Factual Density to Measure Informativeness of Web Documents—0
Visibility into AI Agents—0
Visual Objects As Context: Exploiting Visual Objects for Lexical Entailment—0
Visual Referential Games Further the Emergence of Disentangled Representations—0
Weighted Aggregation of Conformity Scores for Classification—0
What comes next? Extractive summarization by next-sentence prediction—0
What is the Right Notion of Distance between Predict-then-Optimize Tasks?—0
When Deep Learners Change Their Mind: Learning Dynamics for Active Learning—0
When is an Embedding Model More Promising than Another?—0
When the map is better than the territory—0
Why do objects have many names? A study on word informativeness in language use and lexical systems—0
Writing your own book: A method for going from closed to open book QA to improve robustness and performance of smaller LLMs—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
Faithful to the Original: Fact Aware Neural Abstractive Summarization—0
FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs—0
Few-Shot Graph Out-of-Distribution Detection with LLMs—0
Finding Support Examples for In-Context Learning—0
Fine-Grained Recognition as HSnet Search for Informative Image Parts—0
Improving Training-free Conditional Diffusion Model via Fisher Information—0
FOLLOWUPQG: Towards Information-Seeking Follow-up Question Generation—0
Forgetful Active Learning with Switch Events: Efficient Sampling for Out-of-Distribution Data—0
Fractal properties, information theory, and market efficiency—0
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