Data analysis, statistics, and data engineering
I’ve been seeing more people talk about TeraBox lately, especially around storage for AI-related workflows. Curious if anyone here has us...
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
Google's new offline-first dictation app uses Gemma AI models to take on the apps like Wispr Flow.
![[2602.17402] A Contrastive Variational AutoEncoder for NSCLC Survival Prediction with Missing Modalities](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
This paper presents a Multimodal Contrastive Variational AutoEncoder (MCVAE) designed to improve survival prediction for non-small cell l...
This article presents a detailed study on training a 1.36B-parameter scientific language model from raw arXiv LaTeX sources, focusing on ...
The paper introduces a framework for detecting temporal knowledge leakage in LLM backtesting, proposing a new metric, Shapley-DCLR, and a...
The paper presents the Large Behavioral Model (LBM), a novel AI framework designed to enhance the prediction of human decision-making in ...
This paper presents a framework for online construction of symbolic causal world models, enhancing agents' decision-making through contin...
The paper introduces JEPA-DNA, a novel framework for genomic foundation models that enhances predictive capabilities by integrating joint...
This article explores the epistemological implications of generative AI, proposing a new framework for understanding knowledge production...
This article presents InstructKG, a framework for creating instructor-aligned knowledge graphs that enhance personalized learning by mapp...
The paper presents O-Shap, a novel method for feature attribution in explainable AI, addressing limitations of traditional Shapley value ...
The paper proposes a human-AI collaborative framework for creating benchmark datasets to evaluate sustainability rating methodologies, ad...
This study analyzes how AI coding agents create pull request descriptions and how human reviewers respond, revealing distinct styles and ...
The paper presents the Sales Research Agent, an AI tool in Microsoft Dynamics 365 Sales, designed to provide insights from live CRM data....
Sonar-TS introduces a neuro-symbolic framework for natural language querying of time series databases, addressing limitations of existing...
The paper introduces Conv-FinRe, a benchmark for evaluating financial recommendation systems that emphasizes utility-grounded decision-ma...
The paper explores how narrow fine-tuning of vision-language agents can lead to significant safety alignment issues, highlighting the ris...
This article presents a novel order-oriented approach to scoring hesitant fuzzy elements, proposing a unified framework that enhances sco...
This paper presents improved upper bounds for slicing the edges of the n-dimensional hypercube using hyperplanes, enhancing previous rese...
NeuDiff Agent introduces an AI workflow for single-crystal neutron crystallography, enhancing analysis efficiency and reducing processing...
The paper presents a Mobility-Aware Cache Framework (MobCache) designed to enhance the efficiency of large-scale human mobility simulatio...
The AIdentifyAGE ontology aims to enhance forensic dental age assessment by providing a standardized framework for integrating clinical, ...
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