Most cited computer science papers
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Investigando a Dinâmica da Propagação do Ódio em Cascatas de Toxicidade nos Chats Ao Vivo da Twitch
Lobo, J. V. C., Barbosa, D. M., & Melo, P. D. F. (2025) · Proceedings of the 31st Brazilian Symposium on Multimedia and the Web (WebMedia 2025)
Hate Speech and Cyberbullying DetectionMisinformation and Its Impacts
Cited by 1
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Forgetting Transformer: Softmax Attention with a Forget Gate
Lin, Z., Nikishin, E., He, X. O., & Courville, A. (2025) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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Mobile Virtual Communities
El Morr, C. (2008) · Virtual Technologies
Mobile and Web ApplicationsMultimedia Communication and Technology
Cited by 1
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Your Agent May Misevolve: Emergent Risks in Self-evolving LLM Agents
Shao, S., Ren, Q., Qian, C., Wei, B., Guo, D., Yang, J., Song, X., Zhang, L., Zhang, W., Liu, D., et al. (2025) · arXiv
Adversarial Robustness in Machine LearningEthics and Social Impacts of AI
Cited by 1
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STRICTA: Structured Reasoning in Critical Text Assessment for Peer Review and Beyond
Dycke, N., Zečević, M., Kuznetsov, I., Suess, B., Kersting, K., & Gurevych, I. (2025) · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
Natural Language Processing TechniquesDiscourse Analysis in Language Studies
Cited by 1
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EntSQL: A Benchmark for Grounding Text-to-SQL in Long-Context Enterprise Knowledge
Liao, C., Xu, T., Chen, Z., Xu, C., Wang, Y., Wang, X., Zhang, Y., Chen, X., Yang, Z., & Wen, Z. (2026) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues
Zhong, Y., Gao, Y., & Wang, H. (2026) · Proceedings of the ACM Web Conference 2026
Speech and dialogue systemsTopic Modeling
Cited by 1
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HGA-DP: Optimal Partitioning of Multimodal DNNs Enabling Real-Time Image Inference for AR-Assisted Communication Maintenance on Cloud-Edge-End Systems
Ye, C., Zhang, R., Li, X., Deng, W., Wang, J., & Shao, S. (2025) · Information
IoT and Edge/Fog ComputingAdvanced Neural Network Applications
Cited by 1
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Manufacturing Cybersecurity for SMEs: Implementing Zero Trust in Legacy Industrial Environments
Akinsanya, A. (2026) · Research Square
Information and Cyber SecurityNetwork Security and Intrusion Detection
Cited by 1
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FindingDory: A Benchmark to Evaluate Memory in Embodied Agents
Yadav, K., Ali, Y., Gupta, G., Gal, Y., & Kira, Z. (2025) · arXiv
Multimodal Machine Learning ApplicationsRobot Manipulation and Learning
Cited by 1
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The Role of AI Chatbots in Facilitating Online Harm: A Systematic Review
Amidu, G. (2025) · Research Square
Ethics and Social Impacts of AIMisinformation and Its Impacts
Cited by 1
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DeepDive: Advancing Deep Search Agents with Knowledge Graphs and Multi-Turn RL
Lu, R., Hou, Z., Wang, Z., Zhang, H., Liu, X., Li, Y., Feng, S., Tang, J., & Dong, Y. (2025) · arXiv
Information Retrieval and Search BehaviorTopic Modeling
Cited by 1
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Logic-Driven Cybersecurity: A Novel Framework for System Log Anomaly Detection using Answer Set Programming
Li, F., Zuo, F., & Gupta, G. (2025) · arXiv
Network Security and Intrusion DetectionDigital and Cyber Forensics
Cited by 1
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On the Feasibility of Fully AI-automated Vishing Attacks
Figueiredo, J., Carvalho, A., Castro, D., Gonçalves, D., & Santos, N. (2024) · arXiv
Spam and Phishing DetectionCybercrime and Law Enforcement Studies
Cited by 1
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The ART of LLM Refinement: Ask, Refine, and Trust
Shridhar, K., Sinha, K., Cohen, A., Wang, T., Yu, P., Pasunuru, R., Sachan, M., Weston, J., & Celikyilmaz, A. (2023) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 1
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Too Much Information: Keeping Training Simple for BabyLMs
Edman, L., & Bylinina, L. (2023) · Proceedings of the BabyLM Challenge at the 27th Conference on Computational Natural Language Learning
Topic ModelingDomain Adaptation and Few-Shot Learning
Cited by 1
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A benchmark for vericoding: formally verified program synthesis
Bursuc, S., Ehrenborg, T., Lin, S., Astefanoaei, L., Chiosa, I. E., Kukovec, J., Singh, A., Butterley, O., Bizid, A., Dougherty, Q., et al. (2025) · arXiv
Logic, programming, and type systemsSoftware Engineering Research
Cited by 1
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Behind Developer Contributions on Conflicting Merge Scenarios
Vale, G., Fernandes, E., Figueiredo, E., & Apel, S. (2023) · 2023 IEEE 23rd International Working Conference on Source Code Analysis and Manipulation (SCAM)
Open Source Software InnovationsSoftware Engineering Research
Cited by 1
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Content-Based Image Retrieval Using Deep Learning
Karur, D. J. C., Hebbal, A., & Pujari, D. J. (2022) · International Journal of Scientific Research in Computer Science Engineering and Information Technology
Image Retrieval and Classification TechniquesAdvanced Image and Video Retrieval Techniques
Cited by 1
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Beyond Resolution Rates: Behavioral Drivers of Coding Agent Success and Failure
Mehtiyev, T., & Assunção, W. (2026) · arXiv
Software Engineering ResearchSoftware Engineering Techniques and Practices
Cited by 1
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OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities
Xie, Y., Xie, T., Lin, M., Wei, W., Li, C., Kong, B., Chen, L., Zhuo, C., Hu, B., & Li, Z. (2023) · arXiv
Topic ModelingAI-based Problem Solving and Planning
Cited by 1
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GPT-5 vs Other LLMs in Long Short-Context Performance
Esmi, N., Nezhad-Moghaddam, M., Borhani, F., Shahbahrami, A., Daemdoost, A., & Gaydadjiev, G. (2025) · 2025 3rd International Conference on Foundation and Large Language Models (FLLM)
Topic ModelingNatural Language Processing Techniques
Cited by 1
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Perceptual Robust Hashing for Video Copy Detection with Unsupervised Learning
Zhao, G., Qin, C., Luo, X., Zhang, X., & Chang, C.-C. (2023) · Proceedings of the 2023 ACM Workshop on Information Hiding and Multimedia Security
Digital Media Forensic DetectionVideo Analysis and Summarization
Cited by 1
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Rehearsal with Auxiliary-Informed Sampling for Audio Deepfake Detection
Febrinanto, F. G., Moore, K., Thapa, C., Ma, J., Saikrishna, V., & Xia, F. (2025) · Interspeech 2025
Speech Recognition and SynthesisMusic and Audio Processing
Cited by 1
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