Papers
Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
Calvin Isley, Joshua Gilbert, Evangelos Kassos et al.
Leveraging Sparse Observations to Predict Species Abundance Across Space and Time
Md Zahidul Islam, Cameron S. Fletcher, Ke Sun et al.
Towards High Resolution Probabilistic Coastal Inundation Forecasting from Sparse Observations
Kazi Ashik Islam, Zakaria Mehrab, Mahantesh M Halappanavar et al.
A Compress-Expand Framework for Automatic Lesson Plan Generation
Shuyan Huang, Ying Zheng, Xiaoli Zeng et al.
EIDSeg: A Pixel-Level Semantic Segmentation Dataset for Post-Earthquake Damage Assessment from Social Media Images
Huili Huang, Chengeng Liu, Danrong Zhang et al.
DRM-Net: Explicit Residual Modelling with Subaquatic Multi-Scale Context Fusion for Underwater Image Enhancement
Chang Huang, Zhou Zhexin, Jun Ma et al.
Fine-Grained Interpretation of Political Opinions in Large Language Models
Jingyu Hu, Mengyue Yang, Mengnan Du et al.
From Woofs to Words: Towards Intelligent Robotic Guide Dogs with Verbal Communication
Yohei Hayamizu, David DeFazio, Hrudayangam Mehta et al.
VITA: Variational Pretraining of Transformers for Climate-Robust Crop Yield Forecasting
Adib Hasan, Mardavij Roozbehani, Munther A. Dahleh
Beyond Detection: Exploring Evidence-based Multi-Agent Debate for Misinformation Intervention and Persuasion
Chen Han, Yijia Ma, Jin Tan et al.
Time2Agri: Temporal Pretext Tasks for Agricultural Monitoring
Moti Rattan Gupta, Anupam Sobti
Dual-branch Spatial-Temporal Self-supervised Representation for Enhanced Road Network Learning
Qinghong Guo, Yu Wang, Ji Cao et al.
Towards Scalable Web Accessibility Audit with MLLMs as Copilots
Ming Gu, Ziwei Wang, Sicen Lai et al.
LabelKAN - Kolmogorov-Arnold Networks for Inter-Label Learning: Avian Community Learning
Marc Grimson, Joshua Fan, Courtney L. Davis et al.
Budgeted Online Active Learning with Expert Advice and Episodic Priors
Kristen Goebel, William Solow, Paola Pesantez-Cabrera et al.
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.