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Informativeness

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Showing 201–225 of 735 papers

TitleStatusHype
GLIMMER: Incorporating Graph and Lexical Features in Unsupervised Multi-Document SummarizationCode0
Unlocking the Power of LLM Uncertainty for Active In-Context Example Selection—0
Robust Offline Active Learning on GraphsCode0
Context-aware Visual Storytelling with Visual Prefix Tuning and Contrastive Learning—0
Avoid Wasted Annotation Costs in Open-set Active Learning with Pre-trained Vision-Language Model—0
The Design and Price of Influence—0
Improving Faithfulness of Large Language Models in Summarization via Sliding Generation and Self-Consistency—0
Conversational Dueling Bandits in Generalized Linear ModelsCode0
Understanding the Relationship between Prompts and Response Uncertainty in Large Language Models—0
CrowdMAC: Masked Crowd Density Completion for Robust Crowd Density Forecasting—0
Impact of Model Size on Fine-tuned LLM Performance in Data-to-Text Generation: A State-of-the-Art Investigation—0
Token-level Correlation-guided Compression for Efficient Multimodal Document UnderstandingCode0
Semantic Prototypes: Enhancing Transparency Without Black BoxesCode0
What's Wrong? Refining Meeting Summaries with LLM FeedbackCode0
Weighted Aggregation of Conformity Scores for Classification—0
Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation DatasetsCode0
EVA-Score: Evaluating Abstractive Long-form Summarization on Informativeness through Extraction and Validation—0
Core: Robust Factual Precision with Informative Sub-Claim IdentificationCode0
The Great AI Witch Hunt: Reviewers Perception and (Mis)Conception of Generative AI in Research Writing—0
ScanFormer: Referring Expression Comprehension by Iteratively Scanning—0
Learning to Ask Informative Questions: Enhancing LLMs with Preference Optimization and Expected Information GainCode0
Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics DataCode0
Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs—0
Measuring Sample Importance in Data Pruning for Language Models based on Information Entropy—0
Converging Dimensions: Information Extraction and Summarization through Multisource, Multimodal, and Multilingual Fusion—0
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