Most cited computer science papers
- Verified
ToolSandbox: A Stateful, Conversational, Interactive Evaluation Benchmark for LLM Tool Use Capabilities
Lu, J., Holleis, T., Zhang, Y., Aumayer, B., Nan, F., Bai, F., Ma, S., Ma, S., Li, M., Yin, G., et al. (2024) · arXiv
Speech and dialogue systemsTopic Modeling
Cited by 2
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Technical Report on the Pangram AI-Generated Text Classifier
Emi, B., & Spero, M. (2024) · arXiv
Authorship Attribution and ProfilingTopic Modeling
Cited by 2
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MemOS: An Operating System for Memory-Augmented Generation (MAG) in Large Language Models
Li, Z., Song, S., Wang, H., Niu, S., Chen, D., Yang, J., Xi, C., Lai, H., Zhao, J., Wang, Y., et al. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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Experience Paper: Uncovering a Privileged Insider Threat in Action
Gopalakrishna, R., & Bhaskaran, R. (2025) · 2025 IEEE European Symposium on Security and Privacy Workshops (EuroS&PW)
Information and Cyber SecurityNetwork Security and Intrusion Detection
Cited by 2
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SAFER: Situation Aware Facial Emotion Recognition
Palash, M., & Bhargava, B. (2023) · arXiv
Emotion and Mood RecognitionFace recognition and analysis
Cited by 2
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Sentiment reasoning for healthcare
Nguyen, K.-N., Le-Duc, K., Tat, B. P., Le, D., Vo-Dang, L., & Hy, T.-S. (2024) · arXiv
Sentiment Analysis and Opinion MiningExplainable Artificial Intelligence (XAI)
Cited by 2
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Designing a Data Quality Management Framework for CRM Platform Delivery and Consultancy
Albrecht, R., Overbeek, S., & van de Weerd, I. (2023) · SN Computer Science
Data Quality and ManagementCorporate Governance and Management
Cited by 2
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RAudit: A Blind Auditing Protocol for Large Language Model Reasoning
Chang, E. Y., & Geng, L. (2026) · arXiv
Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning
Cited by 2
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A Blockchain and Improved Perception Hash Based Copyright Protection Scheme for Purely Chromatic Background Images
Gao, G., Feng, T., Guo, C., Xia, Z., & Shi, Y.-Q. (2025) · IEEE Transactions on Multimedia
Advanced Steganography and Watermarking TechniquesChaos-based Image/Signal Encryption
Cited by 2
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A cascade framework for on-device uncertainty-aware event detection on microcontrollers
Jia, H., Kwon, Y. D., Ma, D., Pham, N., Qendro, L., Vu, T., & Mascolo, C. (2026) · Pervasive and Mobile Computing
Context-Aware Activity Recognition SystemsIoT and Edge/Fog Computing
Cited by 2
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MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
Ni, J., Xue, F., Yue, X., Deng, Y., Shah, M., Jain, K., Neubig, G., & You, Y. (2024) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 2
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AgentRoom: Concurrent Multi-Agent Coding in a CRDT-Backed Shared Workspace
Cho, S., & Lee, D. (2026) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 2
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Fifteen Years of Viper
Eilers, M., Schwerhoff, M., Summers, A. J., & Müller, P. (2025) · Lecture Notes in Computer Science
Logic, programming, and type systemsSoftware Testing and Debugging Techniques
Cited by 2
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JoMA: Demystifying Multilayer Transformers via JOint Dynamics of MLP and Attention
Tian, Y., Wang, Y., Zhang, Z., Chen, B., & Du, S. (2023) · arXiv
Topic ModelingNeural Networks and Applications
Cited by 2
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COFFEE: Counterfactual Fairness for Personalized Text Generation in Explainable Recommendation
Wang, N., Wang, Q., Wang, Y.-C., Sanjabi, M., Liu, J., Firooz, H., Wang, H., & Nie, S. (2023) · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
Recommender Systems and TechniquesEthics and Social Impacts of AI
Cited by 2
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Blockchain Governance: To Govern, or Not to Govern?
Tan, E. (2023) · Cryptocurrency Concepts, Technology, and Applications
Blockchain Technology Applications and SecurityBlockchain Technology in Education and Learning
Cited by 2
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TMFD: Two-Stage Meta-learning Feature Disentanglement Framework for DeepFake Detection
Zhu, X., Lin, B., He, X., Xu, J., & Ding, F. (2024) · 2024 IEEE International Joint Conference on Biometrics (IJCB)
Digital Media Forensic DetectionMisinformation and Its Impacts
Cited by 2
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Playing NetHack with LLMs: Potential & Limitations as Zero-Shot Agents
Jeurissen, D., Perez-Liebana, D., Gow, J., Çakmak, D., & Kwan, J. (2024) · 2024 IEEE Conference on Games (CoG)
Artificial Intelligence in GamesAI-based Problem Solving and Planning
Cited by 2
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Real World Goals Are Fickle and Volatile: Consuming High Fat Foods Reduces Distraction from Entirely Irrelevant High-Fat Foods
Cunningham, C., & Egeth, H. (2016) · Journal of Vision
Visual Attention and Saliency DetectionNeural and Behavioral Psychology Studies
Cited by 2
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Document-Image Perceptual Hashing for Content Authentication
Situ, X., Liu, T., Yao, H., Qin, C., & Zhang, X. (2025) · IEEE Transactions on Big Data
Digital Media Forensic DetectionAdvanced Steganography and Watermarking Techniques
Cited by 2
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BUILDING USER TASK SPACE BY MINING TEMPORALLY PROXIMATE DESKTOP ACTIONS
Mirza, H. T., Chen, L., Majid, A., & Chen, G. (2011) · Cybernetics and Systems
Context-Aware Activity Recognition SystemsUsability and User Interface Design
Cited by 2
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CLFormer: a cross-lingual transformer framework for temporal forgery localization
Cheng, H., Liu, H., Cai, J., & Ye, L. (2025) · Visual Intelligence
Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis
Cited by 2
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Explainable artificial intelligence: Linking domain knowledge and machine interpretation using cognitive sampling of acoustical datasets
Gupta, A. S., Kubicek, B., McCarthy, R. A., Linhardt, T., Hermann, L., & Kemerling, M. (2021) · The Journal of the Acoustical Society of America
Explainable Artificial Intelligence (XAI)Music and Audio Processing
Cited by 2
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WebChoreArena: Evaluating Web Browsing Agents on Realistic Tedious Web Tasks
Miyai, A., Zhao, Z., Egashira, K., Sato, A., Sunada, T., Onohara, S., Yamanishi, H., Toyooka, M., Nishina, K., Maeda, R., et al. (2025) · arXiv
Web Data Mining and AnalysisInformation Retrieval and Search Behavior
Cited by 2
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