Most cited computer science papers
- Verified
Over-the-Air Computation via Cloud Radio Access Networks
Xing, L., Zhou, Y., & Shi, Y. (2021) · 2021 IEEE International Conference on Communications Workshops (ICC Workshops)
Distributed Sensor Networks and Detection AlgorithmsIoT and Edge/Fog Computing
Cited by 4
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WebCanvas: Benchmarking Web Agents in Online Environments
Pan, Y., Kong, D., Zhou, S., Cui, C., Leng, Y., Jiang, B., Liu, H., Shang, Y., Zhou, S., Wu, T., et al. (2024) · arXiv
Web Data Mining and AnalysisInformation Retrieval and Search Behavior
Cited by 4
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Sponsorship Funding in Open-Source Software: Incentivize or Crowd-Out Motivations to Create, Maintain and Share?
Medappa, P. K., Tunc, M. M., & Li, X. (2023) · SSRN Electronic Journal
Open Source Software InnovationsDigital Platforms and Economics
Cited by 4
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ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation
Ren, W., Yang, H., Zhang, G., Wei, C., Du, X., Huang, W., & Chen, W. (2024) · arXiv
Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications
Cited by 4
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Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning
Dong, G., Chen, Y., Li, X., Jin, J., Qian, H., Zhu, Y., Mao, H., Zhou, G., Dou, Z., & Wen, J.-R. (2025) · arXiv
Topic ModelingAI-based Problem Solving and Planning
Cited by 4
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PART: Pre-trained Authorship Representation Transformer
Huertas-Tato, J., Martin, A., & Camacho, D. (2022) · arXiv
Authorship Attribution and ProfilingTopic Modeling
Cited by 4
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Towards Robust Mathematical Reasoning
Luong, T., Hwang, D., Nguyen, H. H., Ghiasi, G., Chervonyi, Y., Seo, I., Kim, J., Bingham, G., Lee, J., Mishra, S., et al. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
Topic ModelingNatural Language Processing Techniques
Cited by 4
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Student Debugging Practices and Their Relationships with Project Outcomes
Kazerouni, A. M., Mansur, R. S., Edwards, S. H., & Shaffer, C. A. (2019) · Proceedings of the 50th ACM Technical Symposium on Computer Science Education
Teaching and Learning ProgrammingSoftware Engineering Research
Cited by 4
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FinPerMA: A Theory-Informed, Event-Grounded Personalized-Memory Benchmark for LLM Agents
Wang, B., Zhou, K., Guo, L., Chen, F., & Zhang, C. (2026) · arXiv
AI-based Problem Solving and PlanningSpeech and dialogue systems
Cited by 4
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ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models
Yuan, Z., Shang, Y., Song, Y., Yang, D., Wu, Q., Yan, Y., & Sun, G. (2023) · arXiv
Advanced Neural Network ApplicationsTopic Modeling
Cited by 4
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A Survey on Human-Centered Evaluation of Explainable AI Methods in Clinical Decision Support Systems
Gambetti, A., Han, Q., Shen, H., & Soares, C. (2025) · arXiv
Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education
Cited by 4
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MMAR: A Challenging Benchmark for Deep Reasoning in Speech, Audio, Music, and Their Mix
Ma, Z., Ma, Y., Zhu, Y., Yang, C., Chao, Y.-W., Xu, R., Chen, W., Chen, Y., Chen, Z., Cong, J., et al. (2025) · arXiv
Multimodal Machine Learning ApplicationsMusic and Audio Processing
Cited by 4
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Guaranteed Generation from Large Language Models
Kim, M., Thonet, T., Rozen, J., Lee, H., Jung, K., & Dymetman, M. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 4
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LLMs Can Patch Up Missing Relevance Judgments in Evaluation
Upadhyay, S., Kamalloo, E., & Lin, J. (2024) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 4
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Challenges in Automatic Speech Recognition for Adults with Cognitive Impairment
Cohn, M., Lanzi, A., Ishihara, Y., Chuah, C.-N., Zellou, G., & Weakley, A. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems
Speech Recognition and SynthesisVoice and Speech Disorders
Cited by 4
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MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
Wang, Z., Chang, Q., Patel, H., Biju, S., Wu, C.-E., Liu, Q., Ding, A., Rezazadeh, A., Shah, A., Bao, Y., et al. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 4
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Using Artificial Intelligence to Accelerate Collective Intelligence: Policy Synth and Smarter Crowdsourcing
Bjarnason, R., Gambrell, D., & Lanthier-Welch, J. (2024) · arXiv
Mobile Crowdsensing and CrowdsourcingE-Government and Public Services
Cited by 4
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Isolated elliptic curves and the MOV attack
Scholl, T. (2017) · Journal of Mathematical Cryptology
Cryptography and Residue ArithmeticAlgebraic Geometry and Number Theory
Cited by 4
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The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
Akyürek, E., Damani, M., Zweiger, A., Qiu, L., Guo, H., Pari, J., Kim, Y., & Andreas, J. (2024) · arXiv
Domain Adaptation and Few-Shot LearningTopic Modeling
Cited by 4
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Security Threats in Agentic AI System
Khan, R., Sarkar, S., Mahata, S. K., & Jose, E. (2024) · arXiv
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 4
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Craftax: A Lightning-Fast Benchmark for Open-Ended Reinforcement Learning
Matthews, M., Beukman, M., Ellis, B., Samvelyan, M., Jackson, M., Coward, S., & Foerster, J. (2024) · arXiv
Reinforcement Learning in RoboticsArtificial Intelligence in Games
Cited by 4
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Rethinking Out-of-Distribution Detection for Reinforcement Learning: Advancing Methods for Evaluation and Detection
Nasvytis, L., Sandbrink, K., Foerster, J., Franzmeyer, T., & Schroeder de Witt, C. (2024) · International Joint Conference on Autonomous Agents and Multiagent Systems
Anomaly Detection Techniques and ApplicationsReinforcement Learning in Robotics
Cited by 4
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Entropy Based Identification of Fake Profiles in Social Network: An Application of Cyberbullying
Sarna, G., & Bhatia, M. P. S. (2017) · International Journal of Virtual Communities and Social Networking
Spam and Phishing DetectionMisinformation and Its Impacts
Cited by 4
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Creating safe environments for children: prevention of trauma in the Extended Verse
Jane Patel, N. (2025) · Empathic Computing
Emotion and Mood RecognitionVirtual Reality Applications and Impacts
Cited by 4
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