Papers
EA: Managing Green Data Centers Using Deep Reinforcement Learning Without Discounting
Peijian Wang, Thu Nguyen
Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection
Han Wang, Deyi Ji, Junyu Lu et al.
CARE-Bench: A Benchmark of Diverse Client Simulations Guided by Expert Principles for Evaluating LLMs in Psychological Counseling
Bichen Wang, Yixin Sun, Junzhe Wang et al.
RipAlert: A Future-Frame-Aware Framework for Rip Current Forecasting and Early Alerting
Meng Wan, Qi Su, Zhixin Xia et al.
BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
Catherine Villeneuve, Benjamin Akera, Mélisande Teng et al.
ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model
Krishu K Thapa, Supriya Savalkar, Bhupinderjeet Singh et al.
AI in the Wild: A Meta-Analytic Evaluation of Depression Detection from Social Media Data
Xianglu Tang, Joyee W. Jin, Emily Ma et al.
Achieving Fairness Without Harm via Selective Demographic Experts
Xuwei Tan, Yuanlong Wang, Thai-Hoang Pham et al.
ESG-Bench: Benchmarking Long-Context ESG Reports for Hallucination Mitigation
Siqi Sun, Ben Peng Wu, Mali Jin et al.
BSAN: Behavioral State Attention Network for Modeling Mosquito Host-Seeking Behavior
Haotian Sun, Jessie Zixin Li, John M. Marshall
What Are They Filtering Out? An Experimental Benchmark of Filtering Strategies for Harm Reduction in Pretraining Datasets
Marco Antonio Stranisci, Christian Hardmeier
Investigating Vaccine Buyer’s Remorse: Post-Vaccination Decision Regret in COVID-19 Social Media Using Politically Diverse Human Annotation
Miles Stanley, Soumyajit Datta, Ashutosh Kumar et al.
EvalQAG: A Framework for Automatic Complex QA Generation and a Benchmark QA Dataset for Policy Documents
Kirtan Brijeshbhai Soni, Krish Rupapara, Arpit Rana et al.
SpiderGen: Towards Procedure Generation for Carbon Life Cycle Assessments with Generative AI
Anupama Sitaraman, Bharathan Balaji, Yuvraj Agarwal
Talk, Snap, Complain: Validation-Aware Multimodal Expert Framework for Fine-Grained Customer Grievances
Rishu Kumar Singh, Navneet Shreya, Sarmistha Das et al.
Resilience Inference for Supply Chains with Hypergraph Neural Network
Zetian Shen, Hongjun Wang, Jiyuan Chen et al.
OIDA-QA: A Multimodal Benchmark for Analyzing the Opioid Industry Documents Archive
Xuan Shen, Brian Wingenroth, Zichao Wang et al.
PlantTraitNet: An Uncertainty-Aware Multimodal Framework for Global-Scale Plant Trait Inference from Citizen Science Data
Ayushi Sharma, Johanna Trost, Daniel Lusk et al.
AXON: Action Characterization Through Cross-Modal Knowledge Distillation for Neurodiverse Individuals
Siddhant Bikram Shah, Kristina T. Johnson
Machine Learning for Sustainable Rice Production: Region-Scale Monitoring of Water-Saving Practices in Punjab, India
Ando Shah, Rajveer Singh, Akram Zaytar et al.
AURA: Development and Validation of an Augmented Unplanned Removal Alert System Using Synthetic ICU Videos
Junhyuk Seo, Hyeyoon Moon, Kyu-Hwan Jung et al.
Fast 3D Surrogate Modeling for Data Center Thermal Management
Soumyendu Sarkar, Antonio Guillen-Perez, Zachariah J Carmichael et al.
The Illusion of Fairness: Auditing Fairness Interventions in Algorithmic Hiring with Audit Studies
Disa Sariola, Patrick Button, Aron Culotta et al.
Active Learning for Animal Re-Identification with Ambiguity-Aware Sampling
Depanshu Sani, Mehar Khurana, Saket Anand