| 2024 | Advances in Citation Text Generation: Leveraging Multi-Source Seq2Seq Models and Large Language Models. | Avinash Anand, Ashwin R. Nair, Kritarth Prasad, Vrinda Narayan, Naman Lal, Debanjan Mahata, Yaman Singla, Rajiv Ratn Shah |
| 2024 | Understanding the User: An Intent-Based Ranking Dataset. | Abhijit Anand, Jurek Leonhardt, Venktesh V, Avishek Anand |
| 2024 | Spatio-temporal Graph Normalizing Flow for Probabilistic Traffic Prediction. | Yang An, Zhibin Li, Wei Liu, Haoliang Sun, Meng Chen, Wenpeng Lu, Yongshun Gong |
| 2024 | Can LLMs Reason Like Humans? Assessing Theory of Mind Reasoning in LLMs for Open-Ended Questions. | Maryam Amirizaniani, Elias Martin, Maryna Sivachenko, Afra Mashhadi, Chirag Shah |
| 2024 | AuditLLM: A Tool for Auditing Large Language Models Using Multiprobe Approach. | Maryam Amirizaniani, Elias Martin, Tanya G. Roosta, Aman Chadha, Chirag Shah |
| 2024 | Assessing Human Viewpoints in Theory of Mind for Large Language Models in Open-Ended Questioning. | Maryam Amirizaniani |
| 2024 | RevEx: An Online Consumer Reviews Extraction Tool. | Julin Alarte, Carlos Galindo, Carlos Martn, Josep Silva |
| 2024 | UGAD: Universal Generative AI Detector utilizing Frequency Fingerprints. | Inzamamul Alam, Muhammad Shahid Muneer, Simon S. Woo |
| 2024 | Navigating the Landscape of Reproducible Research: A Predictive Modeling Approach. | Akhil Pandey Akella, Sagnik Ray Choudhury, David Koop, Hamed Alhoori |
| 2024 | Neural Additive Tensor Decomposition for Sparse Tensors. | Dawon Ahn, Uday Singh Saini, Evangelos E. Papalexakis, Ali Payani |
| 2024 | XplainScreen: Unveiling the Black Box of Graph Neural Network Drug Screening Models with a Unified XAI Framework. | Geonhee Ahn, Md. Mahim Anjum Haque, Subhashis Hazarika, Soo Kyung Kim |
| 2024 | Accurate Path Prediction of Provenance Traces. | Raza Ahmad, Hee-Young Jung, Yuta Nakamura, Tanu Malik |
| 2024 | Ensembles for Outlier Detection and Evaluation. | Charu C. Aggarwal |
| 2024 | EDGE: A Conversational Interface driven by Large Language Models for Educational Knowledge Graphs Exploration. | Neda Afreen, Giacomo Balloccu, Ludovico Boratto, Gianni Fenu, Francesca Maridina Malloci, Mirko Marras, Andrea Giovanni Martis |
| 2024 | GeoAI for Natural Disaster Assessment. | Saugat Adhikari |
| 2024 | A Geometric Perspective for High-Dimensional Multiplex Graphs. | Kamel Abdous, Nairouz Mrabah, Mohamed Bouguessa |
| 2024 | Enhancing Event Detection with Inter-Event Dependencies in Large Ontologies. | Samireh Abdi |
| 2024 | Topology-aware Retrieval Augmentation for Text Generation. | Yu Wang, Nedim Lipka, Ruiyi Zhang, Alexa F. Siu, Yuying Zhao, Bo Ni, Xin Wang, Ryan A. Rossi, Tyler Derr |
| 2024 | Data Quality-aware Graph Machine Learning. | Yu Wang, Kaize Ding, Xiaorui Liu, Jian Kang, Ryan A. Rossi, Tyler Derr |
| 2024 | DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning. | Xi Chen, Yun Xiong, Siwei Zhang, Jiawei Zhang, Yao Zhang, Shiyang Zhou, Xixi Wu, Mingyang Zhang, Tengfei Liu, Weiqiang Wang |
| 2024 | Sparks of Surprise: Multi-objective Recommendations with Hierarchical Decision Transformers for Diversity, Novelty, and Serendipity. | Jie Wang, Alexandros Karatzoglou, Ioannis Arapakis, Xin Xin, Xuri Ge, Joemon M. Jose |
| 2024 | Collaborative Alignment for Recommendation. | Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu |
| 2024 | Learning Fair Invariant Representations under Covariate and Correlation Shifts Simultaneously. | Dong Li, Chen Zhao, Minglai Shao, Wenjun Wang |
| 2024 | Multi-Stage Refined Visual Captioning for Baidu Ad Creatives Generation. | Yi Yang, Xinyu Zhao, Kang Zhao, Zhipeng Jin, Wen Tao, Lin Liu, Shuanglong Li |
| 2024 | Document-Level Relation Extraction Based on Heterogeneous Graph Reasoning. | Dong Li, Miao Li, Zhi-Lei Lei, Baoyan Song, Xiaohuan Shan |