Papers
Enhancing Predictive Model Learning via Domain-Knowledge Augmented Latent Feature Mining
Bingxuan Li, Pengyi Shi, Amy R Ward
Multi-Agent Reinforcement Learning for Modeling, Simulating, and Optimizing Energy Markets
Matan Levy, Itay Segev, Alexander Tuisov et al.
Enabling Delayed-Full Charging Through Transformer-Based Real-Time-to-Departure Modeling for EV Battery Longevity
Yonggeon Lee, Jibin Hwang, Alfred Malengo Kondoro et al.
Generalizable Slum Detection from Satellite Imagery with Mixture-of-Experts
Sumin Lee, Sungwon Park, Jeasurk Yang et al.
Evaluating LLMs for Police Decision-Making: A Framework Based on Police Action Scenarios
Sangyub Lee, Heedou Kim, Hyeoncheol Kim
How Do Data Owners Say No? A Case Study of Data Consent Mechanisms in Web-Scraped Vision-Language AI Training Datasets
Chung Peng Lee, Rachel Hong, Harry H. Jiang et al.
CycleChemist: A Dual-Pronged Machine Learning Framework for Organic Photovoltaic Discovery
Hou Hei Lam, Jiangjie Qiu, Xiuyuan Hu et al.
Can LLMs Truly Embody Human Personality? Analyzing AI and Human Behavior Alignment in Dispute Resolution
Deuksin Kwon, Kaleen Shrestha, Bin Han et al.
CyPortQA: Benchmarking Multimodal Large Language Models for Cyclone Preparedness in Port Operation
Chenchen Kuai, Chenhao Wu, Yang Zhou et al.
Promoting Sustainable Web Agents: Benchmarking and Estimating Energy Consumption Through Empirical and Theoretical Analysis
Lars Krupp, Daniel Geißler, Vishal Banwari et al.
TRACE: Textual Relevance Augmentation and Contextual Encoding for Multimodal Hate Detection
Girish A. Koushik, Helen Treharne, Aditya Joshi et al.
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
Avni Kothari, Patrick Vossler, Jean Digitale et al.
MIRNet: Integrating Constrained Graph-Based Reasoning with Pre-training for Diagnostic Medical Imaging
Shufeng Kong, Zijie Wang, Nuan Cui et al.
Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications
Ashley Klein, Edward Raff, Marcia DesJardin
KTCF: Actionable Recourse in Knowledge Tracing via Counterfactual Explanations for Education
Woojin Kim, Changkwon Lee, Hyeoncheol Kim
Preference Robustness for DPO with Applications to Public Health
Cheol Woo Kim, Shresth Verma, Mauricio Tec et al.
NutriScreener: Retrieval Augmented Multi-Pose Graph Attention Network for Malnourishment Screening
Misaal Khan, Mayank Vatsa, Kuldeep Singh et al.
ALERT: Adversarial Learning Enhanced Stability-aware Routing Transformer for Adaptive Depression Detection
Liangyi Kang, Wei Hua, Yan Yang et al.
Language Models and Logic Programs for Trustworthy Tax Reasoning
William Jurayj, Nils Holzenberger, Benjamin Van Durme
A Human-Centric Pipeline for Aligning Large Language Models with Chinese Medical Ethics
Haoan Jin, Han Ying, Jiacheng Ji et al.
Monocular Mesh Recovery and Body Measurement of Female Saanen Goats
Bo Jin, ShichaoZhao, Jin Lyu et al.
SSTODE: Ocean-Atmosphere Physics-Informed Neural ODEs for Sea Surface Temperature Prediction
Zheng Jiang, Wei Wang, Gaowei Zhang et al.
Optimizing Ride-Pooling Operations with Extended Pickup and Drop-Off Flexibility
Hao Jiang, Yixin Xu, Pradeep Varakantham
Satellite-Text-Prompted Large Language Model for Photovoltaic Power Forecasting
Pengfei Jia, Jianghong Ma, Baoquan Zhang et al.
Crossing Borders: A Multimodal Challenge for Indian Poetry Translation and Image Generation
Sofia Jamil, Kotla Sai Charan, Sriparna Saha et al.