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Found 16 papers, 6 papers with code
Characterizing LLM Abstention Behavior in Science QA with Context Perturbations
The correct model response in the face of uncertainty is to abstain from answering a question so as not to mislead the user.
InfoVisDial: An Informative Visual Dialogue Dataset by Bridging Large Multimodal and Language Models
In this paper, we build a visual dialogue dataset, named InfoVisDial, which provides rich informative answers in each round even with external knowledge related to the visual content.
Top-down Green-ups: Satellite Sensing and Deep Models to Predict Buffelgrass Phenology
An invasive species of grass known as "buffelgrass" contributes to severe wildfires and biodiversity loss in the Southwest United States.
$GRU^{spa}$: Gated Recurrent Unit with Spatial Attention for Spatio-Temporal Disaggregation
The spatial attention layers capture spatial interactions among regions, while the gated recurrent module captures the temporal dependencies.
Adapting to Skew: Imputing Spatiotemporal Urban Data with 3D Partial Convolutions and Biased Masking
To ensure coverage and utility, we adapt computer vision techniques for image inpainting to operate on 3D histograms (2D space + 1D time) commonly used for data exchange in urban settings.
Contrastive Language-Vision AI Models Pretrained on Web-Scraped Multimodal Data Exhibit Sexual Objectification Bias
A first experiment uses standardized images of women from the Sexual OBjectification and EMotion Database, and finds that human characteristics are disassociated from images of objectified women: the model's recognition of emotional state is mediated by whether the subject is fully or partially clothed.
Data Management for Causal Algorithmic Fairness
Fairness is increasingly recognized as a critical component of machine learning systems.
Delineating Knowledge Domains in the Scientific Literature Using Visual Information
In this paper, we demonstrate the utility of using scientific figures as markers of knowledge domains in science, which can be used for classification, recommender systems, and studies of scientific information exchange.
FairST: Equitable Spatial and Temporal Demand Prediction for New Mobility Systems
Emerging transportation modes, including car-sharing, bike-sharing, and ride-hailing, are transforming urban mobility but have been shown to reinforce socioeconomic inequities.
Capuchin: Causal Database Repair for Algorithmic Fairness
However, it is the underlying data on which these systems are trained that often reflect discrimination, suggesting a database repair problem.
JECL: Joint Embedding and Cluster Learning for Image-Text Pairs
We propose JECL, a method for clustering image-caption pairs by training parallel encoders with regularized clustering and alignment objectives, simultaneously learning both representations and cluster assignments.
Query2Vec: An Evaluation of NLP Techniques for Generalized Workload Analytics
We find that these general approaches, when trained on a large corpus of SQL queries, provides a robust foundation for a variety of workload analysis tasks and database features, without requiring application-specific feature engineering.
EZLearn: Exploiting Organic Supervision in Large-Scale Data Annotation
In science and other high-value domains, large repositories of data samples are often available, together with two sources of organic supervision: a lexicon for the annotation classes, and text descriptions that accompany some data samples.
LaraDB: A Minimalist Kernel for Linear and Relational Algebra Computation
Analytics tasks manipulate structured data with variants of relational algebra (RA) and quantitative data with variants of linear algebra (LA).
Databases
Viziometrics: Analyzing Visual Information in the Scientific Literature
Remarkably, we find a significant correlation between scientific impact and the use of visual information, where higher impact papers tend to include more diagrams, and to a lesser extent more plots and photographs.
Lara: A Key-Value Algebra underlying Arrays and Relations
Data processing systems roughly group into families such as relational, array, graph, and key-value.
Databases Programming Languages
