Papers
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
The Confidence Trap: Gender Bias and Predictive Certainty in LLMs
Ahmed Sabir, Markus Kängsepp, Rajesh Sharma
A Retrieval Augmented Spatio-Temporal Framework for Traffic Prediction
Weilin Ruan, Xilin Dang, Ziyu Zhou et al.
Navigation and Interaction for Blind Users via a Cognitive Architecture
Oscar J. Romero, Anthony Tomasic, Elizabeth J. Carter et al.
Toward Simulating Networked Societies with Formal Institutions Using AI Agents
Michael Richards, Danny Cowser, Daniel Nielson et al.
X-MuTeST: A Multilingual Benchmark for Explainable Hate Speech Detection and a Novel LLM-Consulted Explanation Framework
Mohammad Zia Ur Rehman, Sai Kartheek Reddy Kasu, Shashivardhan Reddy Koppula et al.
CCD-Bench: Probing Cultural Conflict in Large Language Model Decision-Making
Hasibur Rahman, Hanan Salam
LLM Targeted Underperformance Disproportionately Impacts Vulnerable Users
Elinor Poole-Dayan, Deb Roy, Jad Kabbara
Debiasing Machine Learning Predictions for Causal Inference Without Additional Ground Truth Data: “One Map, Many Trials” in Satellite-Driven Poverty Analysis
Markus B. Pettersson, Connor Thomas Jerzak, Adel Daoud
Scalable Air-Quality Sensor Placement via Gradient-Based Mutual Information Maximization
Zeel B Patel, Vinayak Rana, Nipun Batra
Culture Affordance Atlas: Reconciling Object Diversity Through Functional Mapping
Joan Nwatu, Longju Bai, Oana Ignat et al.