ACM Transactions on Intelligent Systems and Technology 2024 — papers
The works of ACM Transactions on Intelligent Systems and Technology published in 2024 that our library holds (publisher: Association for Computing Machinery): 1 work, listed below with the most cited first; each has a page with our summary, its key points and its references.
Most cited papers
- A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang et al.3,004 citations · our summary
- Explainability for Large Language Models: A SurveyHaiyan Zhao, Hanjie Chen, Fan Yang et al.650 citations · our summary
- A Bibliometric Review of Large Language Models Research from 2017 to 2023 ↗Lizhou Fan, Lingyao Li, Zihui Ma et al.196 citations
- Fairness and Diversity in Recommender Systems: A Survey ↗Yuying Zhao, Yu Wang, Yunchao Liu et al.117 citations
- Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey ↗Alessandro Fabris, Nina Baranowska, Matthew Dennis et al.111 citations
- A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges ↗Yifei Zhang, Dun Zeng, Jinglong Luo et al.83 citations
- Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application ↗Chuanpeng Yang, Yao Tai Zhu, Lu Wang et al.78 citations
- Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window ↗Zefang Zong, Xia Tong, Meng Zheng et al.47 citations
- Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers ↗Meriem Arbaoui, Mohamed‐el‐Amine Brahmia, Abdellatif Rahmoun et al.46 citations
- Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation ↗Ehsan Elahi, Sajid Anwar, Babar Shah et al.46 citations
All works of the year (156)
- A Survey on Evaluation of Large Language ModelsYupeng Chang, Xu Wang, Jindong Wang et al.3,004 citations · our summary
- Explainability for Large Language Models: A SurveyHaiyan Zhao, Hanjie Chen, Fan Yang et al.650 citations · our summary
- A Bibliometric Review of Large Language Models Research from 2017 to 2023 ↗Lizhou Fan, Lingyao Li, Zihui Ma et al.196 citations
- Fairness and Diversity in Recommender Systems: A Survey ↗Yuying Zhao, Yu Wang, Yunchao Liu et al.117 citations
- Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey ↗Alessandro Fabris, Nina Baranowska, Matthew Dennis et al.111 citations
- A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges ↗Yifei Zhang, Dun Zeng, Jinglong Luo et al.83 citations
- Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application ↗Chuanpeng Yang, Yao Tai Zhu, Lu Wang et al.78 citations
- Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window ↗Zefang Zong, Xia Tong, Meng Zheng et al.47 citations
- Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers ↗Meriem Arbaoui, Mohamed‐el‐Amine Brahmia, Abdellatif Rahmoun et al.46 citations
- Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation ↗Ehsan Elahi, Sajid Anwar, Babar Shah et al.46 citations
- Cross-Domain HAR: Few-Shot Transfer Learning for Human Activity Recognition ↗Megha Thukral, Harish Haresamudram, Thomas Plötz45 citations
- PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training ↗Sichun Luo, Yuanzhang Xiao, X Zhang et al.41 citations
- Addressing Data Challenges to Drive the Transformation of Smart Cities ↗Ekaterina Gilman, Francesca Bugiotti, Ahmed Khalid et al.39 citations
- Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning ↗Chiao-Ting Chen, Chi Lee, Szu-Hao Huang et al.30 citations
- CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension ↗Zhuo Zhao, Guangyou Zhou, Zhiwen Xie et al.29 citations
- Deep Learning in Single-cell Analysis ↗Dylan Molho, Jiayuan Ding, Wenzhuo Tang et al.27 citations
- GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning ↗Giacomo Medda, Francesco Fabbri, Mirko Marras et al.27 citations
- Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards ↗Ming Li, Lin Li, Xiaohui Tao et al.24 citations
- FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers’ Emotion Recognition ↗Saira Bano, Nicola Tonellotto, Pietro Cassará et al.23 citations
- Concept Drift Adaptation in Text Stream Mining Settings: A Systematic Review ↗Cristiano Mesquita Garcia, Ramón Abilio, Alessandro L. Koerich et al.21 citations
- Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework ↗Yan Kang, Hanlin Gu, Xingxing Tang et al.21 citations
- Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content ↗Monika Choudhary, Satyendra Singh Chouhan, Santosh Singh Rathore20 citations
- Evaluating Large Language Models as Virtual Annotators for Time-Series Physical Sensing Data ↗Aritra Hota, Soumyajit Chatterjee, Sandip Chakraborty20 citations
- Hybrid Prompt Learning for Generating Justifications of Security Risks in Automation Rules ↗Bernardo Breve, Gaetano Cimino, Vincenzo Deufemia20 citations
- Deep Causal Reasoning for Recommendations ↗Yaochen Zhu, Jing Yi, Jiayi Xie et al.19 citations
See all 156 papers in ACM Transactions on Intelligent Systems and Technology 2024 — papers →
Works with our summary in our library (1)
- Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning CorpusACM Transactions on Intelligent Systems and TechnologySeungpil Lee, Woochang Sim, Donghyeon Shin, et al.2024 · 38 citations
Top topics
Language models & pretraining (1)Reasoning (1)
Fields
Arts and Humanities (1)Computer Science (1)
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