Papers
LocalBench: Benchmarking LLMs on County-Level Local Knowledge and Reasoning
Zihan Gao, Yifei Xu, Jacob Thebault-Spieker
Deep Extreme Transformer: Tackling Zero-Inflated Time Series for Precipitation Prediction
Wentao Gao, Xiongren Chen, Xiaojing Du et al.
CO2-Meter: A Comprehensive Carbon Footprint Estimator for LLMs on Edge Devices
Zhenxiao Fu, Fan Chen, Lei Jiang
Building Instance Segmentation for Dense Urban Settlements
Adnan Firoze, Raymond A. Yeh, Daniel Aliaga
Evaluating Online Moderation via LLM-Powered Counterfactual Simulations
Giacomo Fidone, Lucia Passaro, Riccardo Guidotti
Scientifically-Interpretable Reasoning Network (ScIReN): Discovering Hidden Relationships in the Carbon Cycle and Beyond
Joshua Fan, Haodi Xu, Feng Tao et al.
Mind the Gap: Predicting, Explaining and Reducing Time-to-First-Comment (Reply Gap) in Online Mental-Health Communities
Guangrui Fan, Dandan Liu, Lihu Pan
Nanoporous Materials Discovery via Search Bias-Guided Surrogate Modeling
Azza Fadhel, Yassine Chemingui, Minh Hoang et al.
Beta Distribution Learning for Reliable Roadway Crash Risk Assessment
Ahmad Elallaf, Nathan Jacobs, Xinyue Ye et al.
How Can You Tell if Your Large Language Model Could Be a Closet Antisemite? An Explainability-Based Audit Framework for Implicit Bias
Arka Dutta, Reza Fayyazi, Shanchieh Yang et al.
Characterizing AI Manipulation Risks in Brazilian YouTube Climate Discourse
Wenchao Dong, Marcelo Sartori Locatelli, Virgilio Almeida et al.
Capacity Constraints Make Admissions Processes Less Predictable
Evan Dong, Nikhil Garg, Sarah Dean
Toward Gaze Target Detection of Young Autistic Children
Shijian Deng, Erin E. Kosloski, Siva Sai Nagender Vasireddy et al.
When Proxy Agents Disagree, Do Humans Mirror? Manipulating Human Behavior in Moral Dilemmas Through Agents
Haotian Deng, Sitian Wang, Ruxin Wang et al.
RiverScope: High-Resolution River Masking Dataset
Rangel Daroya, Taylor Rowley, Jonathan Acero Flores et al.
Efficient Forecasting of Geostationary Infrared Brightness Temperature Sequences: A Benchmark and a Lightweight Model
Kuai Dai, Hui Su, Xutao Li et al.
SatSolarCast: A Flexible Framework for Multimodal Solar Irradiance Forecasting via Memory-Alignment Learning
Kuai Dai, Hui Su, Chengxing Zhai et al.
ShortageSim: Simulating Drug Shortages Under Information Asymmetry
Mingxuan Cui, Yilan Jiang, Duo Zhou et al.
Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget
Davin Choo, Yohai Trabelsi, Fentabil Getnet et al.
Fragile by Design: On the Limits of Adversarial Defenses in Personalized DreamBooth Generation
Zhen Chen, Yi Zhang, Xiangyu Yin et al.
Measuring Model Performance in the Presence of an Intervention
Winston Chen, Michael W. Sjoding, Jenna Wiens
Driving with Regulation: Trustworthy and Interpretable Decision-Making for Autonomous Driving with Retrieval-Augmented Reasoning
Tianhui Cai, Yifan Liu, Zewei Zhou et al.
Democratizing Writing Support with AI: Insights from One Year of Real-World Interactions with an Open-Access Writing Feedback Tool
Babette Bühler, Ivo Bueno, Enkelejda Kasneci
A Theoretical Model for Grit in Pursuing Ambitious Ends
Avrim Blum, Emily Diana, Kavya Ravichandran et al.