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Informativeness

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Showing 201–250 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 ModelCode0
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
Perks and Pitfalls of Faithfulness in Regular, Self-Explainable and Domain Invariant GNNs—0
Trustworthy Enhanced Multi-view Multi-modal Alzheimer's Disease Prediction with Brain-wide Imaging Transcriptomics DataCode0
Measuring Sample Importance in Data Pruning for Language Models based on Information Entropy—0
Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and ProbingCode0
Converging Dimensions: Information Extraction and Summarization through Multisource, Multimodal, and Multilingual Fusion—0
CrisisSense-LLM: Instruction Fine-Tuned Large Language Model for Multi-label Social Media Text Classification in Disaster InformaticsCode0
Annotation Cost-Efficient Active Learning for Deep Metric Learning Driven Remote Sensing Image Retrieval—0
The Penalized Inverse Probability Measure for Conformal Classification—0
When is an Embedding Model More Promising than Another?—0
Learning about informativeness—0
TexIm FAST: Text-to-Image Representation for Semantic Similarity Evaluation using Transformers—0
CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal Models—0
Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness EstimationCode0
Proper Dataset Valuation by Pointwise Mutual Information—0
Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions—0
Part-based Quantitative Analysis for Heatmaps—0
Quantifying Semantic Emergence in Language ModelsCode0
Optimal design of experiments in the context of machine-learning inter-atomic potentials: improving the efficiency and transferability of kernel based methods—0
Informativeness of Weighted Conformal PredictionCode0
Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems—0
CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation—0
Predictive Accuracy-Based Active Learning for Medical Image SegmentationCode0
Improving Training-free Conditional Diffusion Model via Fisher Information—0
Logic Agent: Enhancing Validity with Logic Rule Invocation—0
Uncertainty in latent representations of variational autoencoders optimized for visual tasksCode0
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective—0
Enhancing Video Summarization with Context AwarenessCode0
Neuromorphic Split Computing with Wake-Up Radios: Architecture and Design via Digital Twinning—0
Uncertainty-aware Active Learning of NeRF-based Object Models for Robot Manipulators using Visual and Re-orientation Actions—0
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