From the 5 of 187 papers with an AI index.
439 citations
- Mitchell InstituteUS119 papers
- The Ohio State UniversityUS73 papers
- California Institute of TechnologyUS71 papers
- University of California SystemUS70 papers
- Fermi National Accelerator LaboratoryUS67 papers
- Universität HamburgDE67 papers
- Centro de Investigaciones Energéticas, Medioambientales y TecnológicasES66 papers
- Princeton UniversityUS66 papers
- Purdue University West LafayetteUS66 papers
- University of ZurichCH66 papers
- Eötvös Loránd UniversityHU65 papers
- Université Paris-SaclayFR65 papers
6 papers · 1 filter
Dreaming Smoothly and Sample Efficiently with Gradient Penalized Latent Dynamics
Romil V. Sonigra, P. R. Kumar
Model-based reinforcement learning improves sample efficiency by learning a world model. However, existing latent world models such as DreamerV3 do not explicitly enforce local smo…
KANMixer: a minimal KAN-centered mixer for long-term time series forecasting
Lingyu Jiang, Dengzhe Hou, Yuping Wang +9
Long-term time series forecasting (LTSF) underpins critical applications from energy management to weather prediction, yet achieving reliable multi-step-ahead accuracy remains chal…
Humanity's Last Exam
Long Phan, Alice Gatti, Ziwen Han +1144
Benchmarks are important tools for tracking the rapid advancements in large language model (LLM) capabilities. However, benchmarks are not keeping pace in difficulty: LLMs now achi…
Knowledge Homophily in Large Language Models
Utkarsh Sahu, Zhisheng Qi, Mahantesh Halappanavar +6
Large Language Models (LLMs) have been increasingly studied as neural knowledge bases for supporting knowledge-intensive applications such as question answering and fact checking.…
Detection of AI Deepfake and Fraud in Online Payments Using GAN-Based Models
Zong Ke, Shicheng Zhou, Yining Zhou +2
This study explores the use of Generative Adversarial Networks (GANs) to detect AI deepfakes and fraudulent activities in online payment systems. With the growing prevalence of dee…
GraphFire-X: Physics-Informed Graph Attention Networks and Structural Gradient Boosting for Building-Scale Wildfire Preparedness at the Wildland-Urban Interface
Miguel Esparza, Vamshi Battal, Ali Mostafavi
As wildfires increasingly evolve into urban conflagrations, traditional risk models that treat structures as isolated assets fail to capture the non-linear contagion dynamics chara…