| 2024 | Generative AI for Energy: Multi-Horizon Power Consumption Forecasting using Large Language Models. | Kevin Roitero, Gianluca D'Abrosca, Andrea Zancola, Vincenzo Della Mea, Stefano Mizzaro |
| 2024 | LayerPlexRank: Exploring Node Centrality and Layer Influence through Algebraic Connectivity in Multiplex Networks. | Hao Ren, Jiaojiao Jiang |
| 2024 | Periormer: Periodic Transformer for Seasonal and Irregularly Sampled Time Series. | Xiaobin Ren, Kaiqi Zhao, Katerina Taskova, Patricia Riddle, Lianyan Li |
| 2024 | Low Carbon Footprint Training for 1D-CNNs with Temporal Max-Pooling. | Anandharaju Durai Raju, Ke Wang |
| 2024 | No Query Left Behind: Query Refinement via Backtranslation. | Delaram Rajaei, Zahra Taheri, Hossein Fani |
| 2024 | Compressed Models are NOT Miniature Versions of Large Models. | Rohit Raj Rai, Rishant Pal, Amit Awekar |
| 2024 | A Mixture of Experts in Forecasting Student Performance in Classroom Programming Activities. | Moqsadur Rahman, Monika Akbar, Justice T. Walker, Mahmud Shahriar Hossain |
| 2024 | Scalable Dynamic Embedding Size Search for Streaming Recommendation. | Yunke Qu, Liang Qu, Tong Chen, Xiangyu Zhao, Quoc Viet Hung Nguyen, Hongzhi Yin |
| 2024 | Towards Completeness-Oriented Tool Retrieval for Large Language Models. | Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen |
| 2024 | ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification. | Umair Qudus, Michael Rder, Daniel Vollmers, Axel-Cyrille Ngonga Ngomo |
| 2024 | SGFL-Attack: A Similarity-Guidance Strategy for Hard-Label Textual Adversarial Attack Based on Feedback Learning. | Panjia Qiu, Guanghao Zhou, Mingyuan Fan, Cen Chen, Yaliang Li, Wenming Zhou |
| 2024 | EASE: Learning Lightweight Semantic Feature Adapters from Large Language Models for CTR Prediction. | Zexuan Qiu, Jieming Zhu, Yankai Chen, Guohao Cai, Weiwen Liu, Zhenhua Dong, Irwin King |
| 2024 | ILTS: Inducing Intention Propagation in Decentralized Multi-Agent Tasks with Large Language Models. | Xihe Qiu, Haoyu Wang, Xiaoyu Tan, Chao Qu |
| 2024 | Bi-directional Learning of Logical Rules with Type Constraints for Knowledge Graph Completion. | Kunxun Qi, Jianfeng Du, Hai Wan |
| 2024 | Hol-Light: A Holistic framework for Efficient and Dynamic Traffic Signal Management. | Siyao Qiao, Jia Wu |
| 2024 | Unified Argument Retrieval System from German News Articles Using Large Language Models. | Piriyakorn Piriyatamwong, Saikishore Kalloori, Fabio Znd |
| 2024 | Improving German News Clustering with Contrastive Learning. | Piriyakorn Piriyatamwong, Saikishore Kalloori, Fabio Znd |
| 2024 | Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks. | Jie Peng, Runlin Lei, Zhewei Wei |
| 2024 | GARF: A Self-supervised Data Cleaning System with SeqGAN. | Jinfeng Peng, Hanghai Cui, Derong Shen, Yue Kou, Tiezheng Nie, Tianlong Guo |
| 2024 | Refining Wikidata Taxonomy using Large Language Models. | Yiwen Peng, Thomas Bonald, Mehwish Alam |
| 2024 | PTM-Mamba: A PTM-Aware Protein Language Model with Bidirectional Gated Mamba Blocks. | Zhangzhi Peng |
| 2024 | Table-Filling via Mean Teacher for Cross-domain Aspect Sentiment Triplet Extraction. | Kun Peng, Lei Jiang, Qian Li, Haoran Li, Xiaoyan Yu, Li Sun, Shuo Sun, Yanxian Bi, Hao Peng |
| 2024 | Towards Deconfounded Visual Question Answering via Dual-causal Intervention. | Daowan Peng, Wei Wei |
| 2024 | Exploiting Pre-trained Models for Drug Target Affinity Prediction with Nearest Neighbors. | Qizhi Pei, Lijun Wu, Zhenyu He, Jinhua Zhu, Yingce Xia, Shufang Xie, Rui Yan |
| 2024 | Advancing Misinformation Awareness in Recommender Systems for Social Media Information Integrity. | Royal Pathak |