Data analysis, statistics, and data engineering
UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...
Hi all, I’m curious about the current review dynamics for ICML 2026, especially after the rebuttal phase. For those who are reviewers (or...
MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...
![[2601.12815] Multimodal Multi-Agent Empowered Legal Judgment Prediction](https://arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png){kind=logo}
This paper presents JurisMMA, a novel framework for Legal Judgment Prediction (LJP) that utilizes multimodal data to enhance the accuracy...
The paper introduces ShaRP, a novel projection technique for dimensionality reduction that allows users to control the visual signature o...
The paper presents NoRD, a data-efficient Vision-Language-Action model that enhances autonomous driving without requiring extensive datas...
The paper presents CG-DMER, a hybrid framework for enhanced ECG representation learning, addressing intra- and inter-modality challenges ...
This paper introduces the Initial Exploration Problem (IEP) in Knowledge Graphs, highlighting barriers faced by users during their first ...
The paper presents Qwen-BIM, a large language model tailored for BIM-based design, introducing a domain-specific benchmark and dataset th...
This paper explores the use of reinforcement learning from AI feedback (RLAIF) to balance multiple objectives in urban traffic control, a...
The paper presents MAGNET, a novel multimodal recommendation framework that utilizes a mixture of adaptive graph experts and entropy-trig...
This paper presents a novel model for online decision-making called Online Algorithms with Unreliable Guidance (OAG), which separates pre...
The paper discusses a method for identifying two piecewise linear additive value functions from anonymous preference information, enhanci...
The CausalReasoningBenchmark introduces a new framework for evaluating automated causal inference, distinguishing between identification ...
The paper introduces KairosVL, a novel framework that enhances time series analysis by integrating semantic reasoning, achieving competit...
The paper introduces PreScience, a benchmark for forecasting scientific contributions using AI. It evaluates four generative tasks relate...
The DMCD framework integrates LLM-based semantic drafting with statistical validation for causal discovery, enhancing performance across ...
This study evaluates multilevel determinants of overweight and obesity among U.S. children aged 10-17, comparing statistical and machine ...
Buzzdetect is an open-source AI tool that uses machine learning and microphones to monitor pollinator activity in real-time, providing a ...
India's AI market is witnessing a pivotal shift as tech firms transition from free offerings to monetization strategies, testing user con...
This article explores the integration of bioinformatics and AI in dentistry, focusing on predicting preoperative healing outcomes using p...
Charlie Lieu's work with Darwin's Ark leverages big data to enhance pet genetics research, improving understanding of health and behavior...
MIT alumni are transforming the MBTA by enhancing route planning, improving service, and fostering a culture of innovation to better conn...
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