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Showing 151–200 of 735 papers

TitleStatusHype
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
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
KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World KnowledgeCode2
Heteroscedastic Preferential Bayesian Optimization with Informative Noise Distributions—0
Automated Evaluation of Retrieval-Augmented Language Models with Task-Specific Exam GenerationCode2
Part-based Quantitative Analysis for Heatmaps—0
Quantifying Semantic Emergence in Language ModelsCode0
Conformal Alignment: Knowing When to Trust Foundation Models with GuaranteesCode1
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
Markovian Transformers for Informative Language ModelingCode1
Logic Agent: Enhancing Validity with Logic Rule Invocation—0
Improving Training-free Conditional Diffusion Model via Fisher Information—0
Uncertainty in latent representations of variational autoencoders optimized for visual tasksCode0
VALOR-EVAL: Holistic Coverage and Faithfulness Evaluation of Large Vision-Language ModelsCode1
Error Analysis of Shapley Value-Based Model Explanations: An Informative Perspective—0
Self-supervised Dataset Distillation: A Good Compression Is All You NeedCode2
Rethinking How to Evaluate Language Model JailbreakCode1
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
ChatGPT Rates Natural Language Explanation Quality Like Humans: But on Which Scales?Code0
The Informativeness of Combined Experimental and Observational Data under Dynamic Selection—0
Policy Relevant Treatment Effects with Multidimensional Unobserved Heterogeneity—0
CSDNet: Detect Salient Object in Depth-Thermal via A Lightweight Cross Shallow and Deep Perception Network—0
Distribution-Aware Data Expansion with Diffusion ModelsCode1
Active Generalized Category DiscoveryCode2
FKA-Owl: Advancing Multimodal Fake News Detection through Knowledge-Augmented LVLMs—0
Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual ReasoningCode0
Downstream Task Guided Masking Learning in Masked Autoencoders Using Multi-Level OptimizationCode0
Prioritizing Informative Features and Examples for Deep Learning from Noisy DataCode0
How Ambiguous are the Rationales for Natural Language Reasoning? A Simple Approach to Handling Rationale Uncertainty—0
Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks—0
`Keep it Together': Enforcing Cohesion in Extractive Summaries by Simulating Human Memory—0
RAGIC: Risk-Aware Generative Adversarial Model for Stock Interval Construction—0
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