arXiv
E-TTS: A New Embodied Test-Time Scaling Framework for Robotic Manipulation
Recently, a few works have made early attempts to study test-time scaling for embodied tasks. However, two major chal...
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arXiv
EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting
Earth Observation (EO) forecasting aims to predict future Earth surface dynamics from satellite observations under ch...
arXiv
Simulation-based inference for rapid Bayesian parameter estimation in epidemiological models: a comparison with MCMC
Mechanistic epidemiological models are widely used to support infectious disease forecasting and public-health decisi...
arXiv
Prompt Injection in Automated Résumé Screening with Large Language Models: Single and Multi-Injection Settings
Large language models (LLMs) are increasingly used to screen and rank job applicants, creating incentives for candida...
arXiv
When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models
Multi-model LLM systems such as routing, voting, cascades, fusion, and mixture-of-agents are used to beat single-mode...
arXiv
AI Healthcare Chatbots as Information Infrastructure: A Large-Scale Study of User-Reported Breakdowns
AI healthcare chatbots are increasingly used to support health information seeking and self-management, yet their per...
arXiv
Beyond the Hard Budget: Sparsity Regularizers for More Interpretable Top-k Sparse Autoencoders
Sparse autoencoders (SAEs) have become a leading tool for interpreting the representations of vision foundation model...
arXiv
Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning
Multimodal web agents can assist humans in operating repetitive GUI tasks, where effective task planning is essential...
arXiv
Language-Based Digital Twins for Elderly Cognitive Assistance
Digital twins have emerged as a promising paradigm for personalized healthcare, enabling modeling of individual behav...
arXiv
Understanding Domain-Aware Distribution Alignment in Budgeted Entity Matching
Entity Matching (EM) is a core operation in the data integration pipeline, where records from different sources are c...
arXiv
Error-Conditioned Neural Solvers
Neural surrogate models offer fast approximate mappings from PDE parameters to solutions, but they typically treat so...
arXiv
Autoregressive Boltzmann Generators
Efficient sampling of molecular systems at thermodynamic equilibrium is a hallmark challenge in statistical physics. ...