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.
![[2602.17022] ReIn: Conversational Error Recovery with Reasoning Inception](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
The paper presents Reasoning Inception (ReIn), a method for improving conversational agents' error recovery without altering their parame...
The paper explores early-warning signals of 'grokking' in machine learning, focusing on the commutator defect as a precursor to generaliz...
This article presents a framework for analyzing psychological patterns in Classical Persian poetry using uncertainty-aware spectral graph...
The paper presents Xray-Visual, a novel vision model architecture designed for large-scale image and video understanding, utilizing exten...
This paper argues for the integration of dynamical systems theory into time series modeling to enhance forecasting accuracy and efficienc...
This paper explores how learning under noisy supervision is influenced by a feedback-truth gap, demonstrating its effects across various ...
The paper introduces a novel approach to indoor wireless localization by applying attention mechanisms to router data, significantly enha...
The PREFER ontology aims to standardize data in precision fermentation, enhancing interoperability and data accessibility across bioproce...
LiveClin introduces a novel clinical benchmark for evaluating medical LLMs, addressing issues of data contamination and knowledge obsoles...
This article presents a geometric analysis of optimization dynamics in transformers, focusing on the phenomenon of grokking, where models...
The paper presents PETS, a framework for optimal trajectory allocation aimed at enhancing test-time self-consistency in machine learning ...
DeepVision-103K introduces a comprehensive dataset designed to enhance reinforcement learning with verifiable rewards, significantly impr...
The paper evaluates AI safety datasets, revealing they often misrepresent real-world attacks due to an overreliance on triggering cues, l...
This paper evaluates the reliability of Mamba, a state-space model, for medical imaging under various attack scenarios, highlighting vuln...
The paper presents APEX-SQL, a novel framework for Text-to-SQL that enhances interaction with complex databases through agentic explorati...
This paper presents a comprehensive survey of GPU-accelerated algorithms for graph vector search, detailing optimization strategies and e...
The paper presents the HIPE-2026 evaluation lab focused on extracting person-place relations from multilingual historical texts, enhancin...
AutoNumerics is a multi-agent framework that autonomously designs and verifies numerical solvers for PDEs from natural language, outperfo...
MolHIT introduces a novel framework for molecular graph generation using Hierarchical Discrete Diffusion Models, achieving state-of-the-a...
WarpRec presents a high-performance framework for recommender systems, merging academic rigor with industrial scalability, while promotin...
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