---
title: "ACM Transactions on Intelligent Systems and Technology 2024"
description: "ACM Transactions on Intelligent Systems and Technology 2024 — papers: 1 paper in the Elamur Research library, with our summaries…"
canonical: "https://research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/2024/"
---
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# 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.

[**156** works that year](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/2024/#works) · [**38** citations of these works](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/2024/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[A Survey on Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chang-2023-survey-evaluation-large-language-models/)**Yupeng Chang, Xu Wang, Jindong Wang et al.*3,004 citations · our summary*
2. **[Explainability for Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/zhao-2023-explainability-large-language-models-survey/)**Haiyan Zhao, Hanjie Chen, Fan Yang et al.*650 citations · our summary*
3. **[A Bibliometric Review of Large Language Models Research from 2017 to 2023 ↗](https://doi.org/10.1145/3664930)**Lizhou Fan, Lingyao Li, Zihui Ma et al.*196 citations*
4. **[Fairness and Diversity in Recommender Systems: A Survey ↗](https://doi.org/10.1145/3664928)**Yuying Zhao, Yu Wang, Yunchao Liu et al.*117 citations*
5. **[Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey ↗](https://doi.org/10.1145/3696457)**Alessandro Fabris, Nina Baranowska, Matthew Dennis et al.*111 citations*
6. **[A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges ↗](https://doi.org/10.1145/3678181)**Yifei Zhang, Dun Zeng, Jinglong Luo et al.*83 citations*
7. **[Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application ↗](https://doi.org/10.1145/3699518)**Chuanpeng Yang, Yao Tai Zhu, Lu Wang et al.*78 citations*
8. **[Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window ↗](https://doi.org/10.1145/3625232)**Zefang Zong, Xia Tong, Meng Zheng et al.*47 citations*
9. **[Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers ↗](https://doi.org/10.1145/3678182)**Meriem Arbaoui, Mohamed‐el‐Amine Brahmia, Abdellatif Rahmoun et al.*46 citations*
10. **[Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation ↗](https://doi.org/10.1145/3641288)**Ehsan Elahi, Sajid Anwar, Babar Shah et al.*46 citations*

## All works of the year (156)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[A Survey on Evaluation of Large Language Models](https://md.research.elamur.ai/free/en/papers/chang-2023-survey-evaluation-large-language-models/)**Yupeng Chang, Xu Wang, Jindong Wang et al.*3,004 citations · our summary*
2. **[Explainability for Large Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/zhao-2023-explainability-large-language-models-survey/)**Haiyan Zhao, Hanjie Chen, Fan Yang et al.*650 citations · our summary*
3. **[A Bibliometric Review of Large Language Models Research from 2017 to 2023 ↗](https://doi.org/10.1145/3664930)**Lizhou Fan, Lingyao Li, Zihui Ma et al.*196 citations*
4. **[Fairness and Diversity in Recommender Systems: A Survey ↗](https://doi.org/10.1145/3664928)**Yuying Zhao, Yu Wang, Yunchao Liu et al.*117 citations*
5. **[Fairness and Bias in Algorithmic Hiring: A Multidisciplinary Survey ↗](https://doi.org/10.1145/3696457)**Alessandro Fabris, Nina Baranowska, Matthew Dennis et al.*111 citations*
6. **[A Survey of Trustworthy Federated Learning: Issues, Solutions, and Challenges ↗](https://doi.org/10.1145/3678181)**Yifei Zhang, Dun Zeng, Jinglong Luo et al.*83 citations*
7. **[Survey on Knowledge Distillation for Large Language Models: Methods, Evaluation, and Application ↗](https://doi.org/10.1145/3699518)**Chuanpeng Yang, Yao Tai Zhu, Lu Wang et al.*78 citations*
8. **[Reinforcement Learning for Solving Multiple Vehicle Routing Problem with Time Window ↗](https://doi.org/10.1145/3625232)**Zefang Zong, Xia Tong, Meng Zheng et al.*47 citations*
9. **[Federated Learning Survey: A Multi-Level Taxonomy of Aggregation Techniques, Experimental Insights, and Future Frontiers ↗](https://doi.org/10.1145/3678182)**Meriem Arbaoui, Mohamed‐el‐Amine Brahmia, Abdellatif Rahmoun et al.*46 citations*
10. **[Knowledge Graph Enhanced Contextualized Attention-Based Network for Responsible User-Specific Recommendation ↗](https://doi.org/10.1145/3641288)**Ehsan Elahi, Sajid Anwar, Babar Shah et al.*46 citations*
11. **[Cross-Domain HAR: Few-Shot Transfer Learning for Human Activity Recognition ↗](https://doi.org/10.1145/3704921)**Megha Thukral, Harish Haresamudram, Thomas Plötz*45 citations*
12. **[PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training ↗](https://doi.org/10.1145/3664927)**Sichun Luo, Yuanzhang Xiao, X Zhang et al.*41 citations*
13. **[Addressing Data Challenges to Drive the Transformation of Smart Cities ↗](https://doi.org/10.1145/3663482)**Ekaterina Gilman, Francesca Bugiotti, Ahmed Khalid et al.*39 citations*
14. **[Credit Card Fraud Detection via Intelligent Sampling and Self-supervised Learning ↗](https://doi.org/10.1145/3641283)**Chiao-Ting Chen, Chi Lee, Szu-Hao Huang et al.*30 citations*
15. **[CGKPN: Cross-Graph Knowledge Propagation Network with Adaptive Connection for Reasoning-Based Machine Reading Comprehension ↗](https://doi.org/10.1145/3658673)**Zhuo Zhao, Guangyou Zhou, Zhiwen Xie et al.*29 citations*
16. **[Deep Learning in Single-cell Analysis ↗](https://doi.org/10.1145/3641284)**Dylan Molho, Jiayuan Ding, Wenzhuo Tang et al.*27 citations*
17. **[GNNUERS: Fairness Explanation in GNNs for Recommendation via Counterfactual Reasoning ↗](https://doi.org/10.1145/3655631)**Giacomo Medda, Francesco Fabbri, Mirko Marras et al.*27 citations*
18. **[Boosting Healthiness Exposure in Category-Constrained Meal Recommendation Using Nutritional Standards ↗](https://doi.org/10.1145/3643859)**Ming Li, Lin Li, Xiaohui Tao et al.*24 citations*
19. **[FedCMD: A Federated Cross-modal Knowledge Distillation for Drivers’ Emotion Recognition ↗](https://doi.org/10.1145/3650040)**Saira Bano, Nicola Tonellotto, Pietro Cassará et al.*23 citations*
20. **[Concept Drift Adaptation in Text Stream Mining Settings: A Systematic Review ↗](https://doi.org/10.1145/3704922)**Cristiano Mesquita Garcia, Ramón Abilio, Alessandro L. Koerich et al.*21 citations*
21. **[Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework ↗](https://doi.org/10.1145/3701039)**Yan Kang, Hanlin Gu, Xingxing Tang et al.*21 citations*
22. **[Beyond Text: Multimodal Credibility Assessment Approaches for Online User-Generated Content ↗](https://doi.org/10.1145/3673236)**Monika Choudhary, Satyendra Singh Chouhan, Santosh Singh Rathore*20 citations*
23. **[Evaluating Large Language Models as Virtual Annotators for Time-Series Physical Sensing Data ↗](https://doi.org/10.1145/3696461)**Aritra Hota, Soumyajit Chatterjee, Sandip Chakraborty*20 citations*
24. **[Hybrid Prompt Learning for Generating Justifications of Security Risks in Automation Rules ↗](https://doi.org/10.1145/3675401)**Bernardo Breve, Gaetano Cimino, Vincenzo Deufemia*20 citations*
25. **[Deep Causal Reasoning for Recommendations ↗](https://doi.org/10.1145/3653985)**Yaochen Zhu, Jing Yi, Jiayi Xie et al.*19 citations*

[See all 156 papers in ACM Transactions on Intelligent Systems and Technology 2024 — papers →](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/2024/papers/)

## Works with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus](https://md.research.elamur.ai/free/en/papers/lee-2024-reasoning-abilities-large-language-models/) [ACM Transactions on Intelligent Systems and Technology](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/)**Seungpil Lee, Woochang Sim, Donghyeon Shin, et al.*2024 · 38 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning (1)](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

works and citations from OpenAlex and our library.

- [← previous ACM Transactions on Intelligent Systems and Technology 2023](https://md.research.elamur.ai/free/en/venues/acm-transactions-on-intelligent-systems-and-technology/2023/)
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