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Public health
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DeepGB-TB: A Risk-Balanced Cross-Attention Gradient-Boosted Convolutional Network for Rapid, Interpretable Tuberculosis Screening
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Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget
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ShortageSim: Simulating Drug Shortages under Information Asymmetry
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Toward Gaze Target Detection of Young Autistic Children
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Energy
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CycleChemist: A Dual-Pronged Machine Learning Framework for Organic Photovoltaic Discovery
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TrustEnergy: A Unified Framework for Accurate and Reliable User-level Energy Usage Prediction
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Multi‑Agent Reinforcement Learning for Modeling, Simulating, and Optimizing Energy Markets
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Promoting Sustainable Web Agents: Benchmarking and Estimating Energy Consumption through Empirical and Theoretical Analysis
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LLMs and society
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Should you use LLMs to simulate opinions? Quality checks for early-stage deliberation
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Evaluating Online Moderation Via LLM-Powered Counterfactual Simulations
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Toward Simulating Networked Societies with Formal Institutions Using AI Agents
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Beyond Detection: Exploring Evidence-based Multi-Agent Debate for Misinformation Intervention and Persuasion
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Medicine
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AURA: Development and Validation of an Augmented Unplanned Removal Alert System using Synthetic ICU Videos
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Assessing Automated Fact-Checking for Medical LLM Responses with Knowledge Graphs
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When the Domain Expert Has No Time and the LLM Developer Has No Clinical Expertise: Real-World Lessons from LLM Co-Design in a Safety-Net Hospital
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mmJEPA-ECG: Cross-Posture Robust Contactless Electrocardiogram Monitoring via Millimeter Wave Radar Sensing
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Ecology
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PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data
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BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
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LabelKAN - Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning
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Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling
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Natural language processing
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Crossing Borders: A Multimodal Challenge for Indian Poetry Translation and Image Generation
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Can LLMs Identify Tax Abuse?
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Unlocking Ancient Scripts: AI-Powered Pictographic Bridges Between Past and Present
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A Human-AI Collaboration Mechanism Study on AIGC Assisted Image Production for Special Coverage
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Agriculture and Water
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Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India
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VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting
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ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model
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GREAT: Generalizable Representation Enhancement via Auxiliary Transformations for Zero-Shot Environmental Prediction
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Ethics and Bias
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How Can You Tell if Your Large Language Model Could Be a Closet Antisemite? A Framework to Bias Audit Large Language Models
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The Confidence Trap: Gender Bias and Predictive Certainty in LLMs
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An External Fairness Evaluation of LinkedIn Talent Search
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How do data owners say no? A case study of data consent mechanisms in web-scraped vision-language AI training datasets
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Disasters
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$\textbf{GraphVSSM}$: Graph Variational State-Space Model for Probabilistic Spatiotemporal Inference of Dynamic Exposure and Vulnerability for Regional Disaster Resilience Assessment
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CyPortQA: Benchmarking Multimodal Large Language Models for Cyclone Preparedness in Port Operation
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RipAlert: A Future-Frame-Aware Framework for Rip Current Forecasting and Early Alerting
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BCWildfire: A Long-term Multi-factor Dataset and Deep Learning Benchmark for Boreal Wildfire Risk Prediction
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Education
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A Large Scale Field Study of AI-Generated Exams
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KTCF: Actionable Recourse in Knowledge Tracing via Counterfactual Explanations for Education
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Capacity Constraints Make Admissions Processes Less Predictable
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EdGCL: Disentangling Social and Cognitive Homophily in Graph-Based Educational Recommender Systems
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Urban
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Generalizable Slum Detection from Satellite Imagery with Mixture-of-Experts
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Scalable Air-Quality Sensor Placement via Gradient-Based Mutual Information Maximization
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Optimizing Ride-Pooling Operations with Extended Pickup and Drop-Off Flexibility
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Self-Regulating Cars: Automating Traffic Control in Free Flow Road Networks
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Environment
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Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond
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RiverScope: High-Resolution River Masking Dataset
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SatSolarCast: A Flexible Framework for Multimodal Solar Irradiance Forecasting via Memory-Alignment Learning
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DuoCast: Duo-Probabilistic Diffusion for Precipitation Nowcasting
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Algorithms, Theory and Statistical Methods
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Game Theory Based Community-Aware Opinion Dynamics
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A Theoretical Model for Grit in Pursuing Ambitious Ends
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Budgeted Online Active Learning with Expert Advice and Episodic Priors
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Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: "One Map, Many Trials" in Satellite-Driven Poverty Analysis
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